Overview

Brought to you by YData

Dataset statistics

Number of variables114
Number of observations1566
Missing cells124986
Missing cells (%)70.0%
Duplicate rows8
Duplicate rows (%)0.5%
Total size in memory9.7 MiB
Average record size in memory6.3 KiB

Variable types

Text78
Categorical30
Numeric2
Unsupported4

Alerts

Violation Description - 23 has constant value "*28 Date marking > 24 hrs,on site,temp 41F" Constant
Violation Points - 23 has constant value "2.0" Constant
Violation Detail - 23 has constant value "228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and" Constant
Violation Memo - 23 has constant value "clearly date mark TCS food for 7 days only" Constant
Violation Description - 24 has constant value "*45 Drying Mops-air dry" Constant
Violation Points - 24 has constant value "1.0" Constant
Violation Detail - 24 has constant value "228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies." Constant
Violation Memo - 24 has constant value "mops need dry" Constant
Inspection Year has constant value "FY2024" Constant
Dataset has 8 (0.5%) duplicate rowsDuplicates
Inspection Date is highly overall correlated with Inspection Month and 2 other fieldsHigh correlation
Inspection Month is highly overall correlated with Inspection DateHigh correlation
Inspection Score is highly overall correlated with Violation Points - 22High correlation
Inspection Type is highly overall correlated with Violation Points - 18 and 4 other fieldsHigh correlation
Street Direction is highly overall correlated with Violation Points - 16 and 5 other fieldsHigh correlation
Street Number is highly overall correlated with Violation Points - 19 and 2 other fieldsHigh correlation
Street Type is highly overall correlated with Violation Points - 19 and 3 other fieldsHigh correlation
Violation Points - 1 is highly overall correlated with Violation Points - 17 and 2 other fieldsHigh correlation
Violation Points - 10 is highly overall correlated with Violation Points - 22High correlation
Violation Points - 11 is highly overall correlated with Violation Points - 22High correlation
Violation Points - 12 is highly overall correlated with Violation Points - 22High correlation
Violation Points - 13 is highly overall correlated with Violation Points - 20 and 2 other fieldsHigh correlation
Violation Points - 16 is highly overall correlated with Street Direction and 3 other fieldsHigh correlation
Violation Points - 17 is highly overall correlated with Violation Points - 1 and 4 other fieldsHigh correlation
Violation Points - 18 is highly overall correlated with Inspection Date and 5 other fieldsHigh correlation
Violation Points - 19 is highly overall correlated with Inspection Type and 6 other fieldsHigh correlation
Violation Points - 2 is highly overall correlated with Violation Points - 20 and 1 other fieldsHigh correlation
Violation Points - 20 is highly overall correlated with Inspection Type and 10 other fieldsHigh correlation
Violation Points - 21 is highly overall correlated with Inspection Type and 9 other fieldsHigh correlation
Violation Points - 22 is highly overall correlated with Inspection Date and 13 other fieldsHigh correlation
Violation Points - 3 is highly overall correlated with Violation Points - 16 and 3 other fieldsHigh correlation
Violation Points - 4 is highly overall correlated with Violation Points - 17 and 2 other fieldsHigh correlation
Violation Points - 5 is highly overall correlated with Violation Points - 20High correlation
Violation Points - 7 is highly overall correlated with Violation Points - 17 and 2 other fieldsHigh correlation
Violation Points - 8 is highly overall correlated with Violation Points - 17High correlation
Violation Points - 9 is highly overall correlated with Violation Points - 18High correlation
Inspection Type is highly imbalanced (93.1%) Imbalance
Street Direction has 994 (63.5%) missing values Missing
Street Type has 28 (1.8%) missing values Missing
Street Unit has 925 (59.1%) missing values Missing
Violation Description - 1 has 96 (6.1%) missing values Missing
Violation Points - 1 has 96 (6.1%) missing values Missing
Violation Detail - 1 has 106 (6.8%) missing values Missing
Violation Memo - 1 has 180 (11.5%) missing values Missing
Violation Description - 2 has 209 (13.3%) missing values Missing
Violation Points - 2 has 209 (13.3%) missing values Missing
Violation Detail - 2 has 220 (14.0%) missing values Missing
Violation Memo - 2 has 308 (19.7%) missing values Missing
Violation Description - 3 has 383 (24.5%) missing values Missing
Violation Points - 3 has 383 (24.5%) missing values Missing
Violation Detail - 3 has 400 (25.5%) missing values Missing
Violation Memo - 3 has 483 (30.8%) missing values Missing
Violation Description - 4 has 566 (36.1%) missing values Missing
Violation Points - 4 has 566 (36.1%) missing values Missing
Violation Detail - 4 has 590 (37.7%) missing values Missing
Violation Memo - 4 has 648 (41.4%) missing values Missing
Violation Description - 5 has 747 (47.7%) missing values Missing
Violation Points - 5 has 747 (47.7%) missing values Missing
Violation Detail - 5 has 755 (48.2%) missing values Missing
Violation Memo - 5 has 806 (51.5%) missing values Missing
Violation Description - 6 has 902 (57.6%) missing values Missing
Violation Points - 6 has 902 (57.6%) missing values Missing
Violation Detail - 6 has 911 (58.2%) missing values Missing
Violation Memo - 6 has 957 (61.1%) missing values Missing
Violation Description - 7 has 1030 (65.8%) missing values Missing
Violation Points - 7 has 1030 (65.8%) missing values Missing
Violation Detail - 7 has 1045 (66.7%) missing values Missing
Violation Memo - 7 has 1076 (68.7%) missing values Missing
Violation Description - 8 has 1162 (74.2%) missing values Missing
Violation Points - 8 has 1162 (74.2%) missing values Missing
Violation Detail - 8 has 1168 (74.6%) missing values Missing
Violation Memo - 8 has 1194 (76.2%) missing values Missing
Violation Description - 9 has 1242 (79.3%) missing values Missing
Violation Points - 9 has 1242 (79.3%) missing values Missing
Violation Detail - 9 has 1251 (79.9%) missing values Missing
Violation Memo - 9 has 1263 (80.7%) missing values Missing
Violation Description - 10 has 1321 (84.4%) missing values Missing
Violation Points - 10 has 1321 (84.4%) missing values Missing
Violation Detail - 10 has 1328 (84.8%) missing values Missing
Violation Memo - 10 has 1337 (85.4%) missing values Missing
Violation Description - 11 has 1378 (88.0%) missing values Missing
Violation Points - 11 has 1378 (88.0%) missing values Missing
Violation Detail - 11 has 1381 (88.2%) missing values Missing
Violation Memo - 11 has 1390 (88.8%) missing values Missing
Violation Description - 12 has 1438 (91.8%) missing values Missing
Violation Points - 12 has 1438 (91.8%) missing values Missing
Violation Detail - 12 has 1442 (92.1%) missing values Missing
Violation Memo - 12 has 1452 (92.7%) missing values Missing
Violation Description - 13 has 1479 (94.4%) missing values Missing
Violation Points - 13 has 1479 (94.4%) missing values Missing
Violation Detail - 13 has 1480 (94.5%) missing values Missing
Violation Memo - 13 has 1481 (94.6%) missing values Missing
Violation Description - 14 has 1509 (96.4%) missing values Missing
Violation Points - 14 has 1509 (96.4%) missing values Missing
Violation Detail - 14 has 1509 (96.4%) missing values Missing
Violation Memo - 14 has 1512 (96.6%) missing values Missing
Violation Description - 15 has 1522 (97.2%) missing values Missing
Violation Points - 15 has 1522 (97.2%) missing values Missing
Violation Detail - 15 has 1523 (97.3%) missing values Missing
Violation Memo - 15 has 1525 (97.4%) missing values Missing
Violation Description - 16 has 1540 (98.3%) missing values Missing
Violation Points - 16 has 1540 (98.3%) missing values Missing
Violation Detail - 16 has 1541 (98.4%) missing values Missing
Violation Memo - 16 has 1543 (98.5%) missing values Missing
Violation Description - 17 has 1549 (98.9%) missing values Missing
Violation Points - 17 has 1549 (98.9%) missing values Missing
Violation Detail - 17 has 1551 (99.0%) missing values Missing
Violation Memo - 17 has 1550 (99.0%) missing values Missing
Violation Description - 18 has 1556 (99.4%) missing values Missing
Violation Points - 18 has 1556 (99.4%) missing values Missing
Violation Detail - 18 has 1556 (99.4%) missing values Missing
Violation Memo - 18 has 1557 (99.4%) missing values Missing
Violation Description - 19 has 1559 (99.6%) missing values Missing
Violation Points - 19 has 1559 (99.6%) missing values Missing
Violation Detail - 19 has 1559 (99.6%) missing values Missing
Violation Memo - 19 has 1559 (99.6%) missing values Missing
Violation Description - 20 has 1561 (99.7%) missing values Missing
Violation Points - 20 has 1561 (99.7%) missing values Missing
Violation Detail - 20 has 1562 (99.7%) missing values Missing
Violation Memo - 20 has 1561 (99.7%) missing values Missing
Violation Description - 21 has 1561 (99.7%) missing values Missing
Violation Points - 21 has 1561 (99.7%) missing values Missing
Violation Detail - 21 has 1561 (99.7%) missing values Missing
Violation Memo - 21 has 1562 (99.7%) missing values Missing
Violation Description - 22 has 1563 (99.8%) missing values Missing
Violation Points - 22 has 1563 (99.8%) missing values Missing
Violation Detail - 22 has 1563 (99.8%) missing values Missing
Violation Memo - 22 has 1563 (99.8%) missing values Missing
Violation Description - 23 has 1565 (99.9%) missing values Missing
Violation Points - 23 has 1565 (99.9%) missing values Missing
Violation Detail - 23 has 1565 (99.9%) missing values Missing
Violation Memo - 23 has 1565 (99.9%) missing values Missing
Violation Description - 24 has 1565 (99.9%) missing values Missing
Violation Points - 24 has 1565 (99.9%) missing values Missing
Violation Detail - 24 has 1565 (99.9%) missing values Missing
Violation Memo - 24 has 1565 (99.9%) missing values Missing
Violation Description - 25 has 1566 (100.0%) missing values Missing
Violation Points - 25 has 1566 (100.0%) missing values Missing
Violation Detail - 25 has 1566 (100.0%) missing values Missing
Violation Memo - 25 has 1566 (100.0%) missing values Missing
Violation Description - 25 is an unsupported type, check if it needs cleaning or further analysis Unsupported
Violation Points - 25 is an unsupported type, check if it needs cleaning or further analysis Unsupported
Violation Detail - 25 is an unsupported type, check if it needs cleaning or further analysis Unsupported
Violation Memo - 25 is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2025-04-14 23:19:30.786652
Analysis finished2025-04-14 23:19:48.779919
Duration17.99 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Distinct1373
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size116.2 KiB
2025-04-14T23:19:49.033727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length56
Median length43
Mean length18.90613
Min length3

Characters and Unicode

Total characters29607
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1255 ?
Unique (%)80.1%

Sample

1st rowWENDY'S #79710
2nd rowGOLD CLUB BAR
3rd rowLA VICTORIA ADULT DAY CARE CENTER #12
4th rowMCALISTER'S DELI
5th rowKILO'S PECANS
ValueCountFrequency (%)
158
 
3.2%
food 76
 
1.6%
restaurant 71
 
1.5%
la 70
 
1.4%
el 64
 
1.3%
the 63
 
1.3%
bar 52
 
1.1%
mart 51
 
1.0%
kitchen 49
 
1.0%
taqueria 49
 
1.0%
Other values (1796) 4173
85.6%
2025-04-14T23:19:49.486760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3314
 
11.2%
A 2667
 
9.0%
E 2546
 
8.6%
R 1855
 
6.3%
O 1777
 
6.0%
I 1669
 
5.6%
S 1663
 
5.6%
T 1624
 
5.5%
N 1392
 
4.7%
L 1353
 
4.6%
Other values (39) 9747
32.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29607
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3314
 
11.2%
A 2667
 
9.0%
E 2546
 
8.6%
R 1855
 
6.3%
O 1777
 
6.0%
I 1669
 
5.6%
S 1663
 
5.6%
T 1624
 
5.5%
N 1392
 
4.7%
L 1353
 
4.6%
Other values (39) 9747
32.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29607
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3314
 
11.2%
A 2667
 
9.0%
E 2546
 
8.6%
R 1855
 
6.3%
O 1777
 
6.0%
I 1669
 
5.6%
S 1663
 
5.6%
T 1624
 
5.5%
N 1392
 
4.7%
L 1353
 
4.6%
Other values (39) 9747
32.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29607
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3314
 
11.2%
A 2667
 
9.0%
E 2546
 
8.6%
R 1855
 
6.3%
O 1777
 
6.0%
I 1669
 
5.6%
S 1663
 
5.6%
T 1624
 
5.5%
N 1392
 
4.7%
L 1353
 
4.6%
Other values (39) 9747
32.9%

Inspection Type
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size98.0 KiB
Routine
1553 
Follow-up
 
13

Length

Max length9
Median length7
Mean length7.0166028
Min length7

Characters and Unicode

Total characters10988
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRoutine
2nd rowRoutine
3rd rowRoutine
4th rowRoutine
5th rowRoutine

Common Values

ValueCountFrequency (%)
Routine 1553
99.2%
Follow-up 13
 
0.8%

Length

2025-04-14T23:19:49.671733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:19:49.781985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
routine 1553
99.2%
follow-up 13
 
0.8%

Most occurring characters

ValueCountFrequency (%)
o 1579
14.4%
u 1566
14.3%
R 1553
14.1%
t 1553
14.1%
i 1553
14.1%
n 1553
14.1%
e 1553
14.1%
l 26
 
0.2%
F 13
 
0.1%
w 13
 
0.1%
Other values (2) 26
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10988
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 1579
14.4%
u 1566
14.3%
R 1553
14.1%
t 1553
14.1%
i 1553
14.1%
n 1553
14.1%
e 1553
14.1%
l 26
 
0.2%
F 13
 
0.1%
w 13
 
0.1%
Other values (2) 26
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10988
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 1579
14.4%
u 1566
14.3%
R 1553
14.1%
t 1553
14.1%
i 1553
14.1%
n 1553
14.1%
e 1553
14.1%
l 26
 
0.2%
F 13
 
0.1%
w 13
 
0.1%
Other values (2) 26
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10988
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 1579
14.4%
u 1566
14.3%
R 1553
14.1%
t 1553
14.1%
i 1553
14.1%
n 1553
14.1%
e 1553
14.1%
l 26
 
0.2%
F 13
 
0.1%
w 13
 
0.1%
Other values (2) 26
 
0.2%

Inspection Date
Categorical

High correlation 

Distinct50
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size102.6 KiB
2024-01-12
 
65
2024-01-19
 
57
2024-01-25
 
56
2024-01-24
 
55
2024-01-18
 
53
Other values (45)
1280 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters15660
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row2024-01-08
2nd row2024-02-28
3rd row2024-01-02
4th row2024-02-27
5th row2024-01-08

Common Values

ValueCountFrequency (%)
2024-01-12 65
 
4.2%
2024-01-19 57
 
3.6%
2024-01-25 56
 
3.6%
2024-01-24 55
 
3.5%
2024-01-18 53
 
3.4%
2024-01-31 52
 
3.3%
2024-01-02 50
 
3.2%
2024-01-11 50
 
3.2%
2024-02-22 45
 
2.9%
2024-01-10 44
 
2.8%
Other values (40) 1039
66.3%

Length

2025-04-14T23:19:49.891096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-01-12 65
 
4.2%
2024-01-19 57
 
3.6%
2024-01-25 56
 
3.6%
2024-01-24 55
 
3.5%
2024-01-18 53
 
3.4%
2024-01-31 52
 
3.3%
2024-01-02 50
 
3.2%
2024-01-11 50
 
3.2%
2024-02-22 45
 
2.9%
2024-01-10 44
 
2.8%
Other values (40) 1039
66.3%

Most occurring characters

ValueCountFrequency (%)
2 4537
29.0%
0 3715
23.7%
- 3132
20.0%
4 1687
 
10.8%
1 1637
 
10.5%
3 259
 
1.7%
8 178
 
1.1%
9 169
 
1.1%
5 139
 
0.9%
7 112
 
0.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15660
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 4537
29.0%
0 3715
23.7%
- 3132
20.0%
4 1687
 
10.8%
1 1637
 
10.5%
3 259
 
1.7%
8 178
 
1.1%
9 169
 
1.1%
5 139
 
0.9%
7 112
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15660
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 4537
29.0%
0 3715
23.7%
- 3132
20.0%
4 1687
 
10.8%
1 1637
 
10.5%
3 259
 
1.7%
8 178
 
1.1%
9 169
 
1.1%
5 139
 
0.9%
7 112
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15660
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 4537
29.0%
0 3715
23.7%
- 3132
20.0%
4 1687
 
10.8%
1 1637
 
10.5%
3 259
 
1.7%
8 178
 
1.1%
9 169
 
1.1%
5 139
 
0.9%
7 112
 
0.7%

Inspection Score
Real number (ℝ)

High correlation 

Distinct38
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.291826
Minimum56
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2025-04-14T23:19:50.041255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile77.25
Q186
median92
Q396
95-th percentile100
Maximum100
Range44
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.0484238
Coefficient of variation (CV)0.078062701
Kurtosis1.1961799
Mean90.291826
Median Absolute Deviation (MAD)4
Skewness-0.98494022
Sum141397
Variance49.680278
MonotonicityNot monotonic
2025-04-14T23:19:50.218788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
92 108
 
6.9%
95 104
 
6.6%
97 98
 
6.3%
100 96
 
6.1%
96 93
 
5.9%
94 88
 
5.6%
90 86
 
5.5%
91 85
 
5.4%
93 80
 
5.1%
98 74
 
4.7%
Other values (28) 654
41.8%
ValueCountFrequency (%)
56 1
 
0.1%
60 3
 
0.2%
64 2
 
0.1%
65 3
 
0.2%
67 2
 
0.1%
68 1
 
0.1%
69 5
0.3%
70 3
 
0.2%
71 6
0.4%
72 9
0.6%
ValueCountFrequency (%)
100 96
6.1%
99 45
2.9%
98 74
4.7%
97 98
6.3%
96 93
5.9%
95 104
6.6%
94 88
5.6%
93 80
5.1%
92 108
6.9%
91 85
5.4%

Street Number
Real number (ℝ)

High correlation 

Distinct1008
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6104.9508
Minimum100
Maximum39779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.4 KiB
2025-04-14T23:19:50.406419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile704
Q12803
median5600
Q38706
95-th percentile13350
Maximum39779
Range39679
Interquartile range (IQR)5903

Descriptive statistics

Standard deviation4077.7567
Coefficient of variation (CV)0.66794259
Kurtosis2.4166547
Mean6104.9508
Median Absolute Deviation (MAD)2955
Skewness0.87777724
Sum9560353
Variance16628099
MonotonicityNot monotonic
2025-04-14T23:19:50.607179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8008 23
 
1.5%
8687 15
 
1.0%
13350 12
 
0.8%
3000 11
 
0.7%
6025 10
 
0.6%
7777 10
 
0.6%
9334 9
 
0.6%
14902 9
 
0.6%
9780 9
 
0.6%
5600 8
 
0.5%
Other values (998) 1450
92.6%
ValueCountFrequency (%)
100 2
0.1%
102 1
0.1%
110 1
0.1%
111 1
0.1%
115 1
0.1%
119 1
0.1%
125 1
0.1%
127 1
0.1%
135 1
0.1%
180 1
0.1%
ValueCountFrequency (%)
39779 1
0.1%
19129 1
0.1%
19009 1
0.1%
18217 1
0.1%
18204 1
0.1%
18130 1
0.1%
18110 1
0.1%
18101 2
0.1%
17848 1
0.1%
17630 1
0.1%
Distinct249
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size99.7 KiB
2025-04-14T23:19:51.079541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length25
Median length20
Mean length8.0913155
Min length3

Characters and Unicode

Total characters12671
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)7.2%

Sample

1st rowBECKLEY
2nd rowPLANO
3rd rowBUCKNER
4th rowRETAIL
5th rowRL THRONTON
ValueCountFrequency (%)
buckner 67
 
3.4%
northwest 57
 
2.9%
preston 55
 
2.8%
forest 53
 
2.7%
central 40
 
2.0%
greenville 39
 
2.0%
garland 35
 
1.8%
rl 34
 
1.7%
thornton 33
 
1.7%
hill 32
 
1.6%
Other values (281) 1508
77.2%
2025-04-14T23:19:51.739047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 1297
 
10.2%
L 1101
 
8.7%
R 1100
 
8.7%
N 1056
 
8.3%
A 921
 
7.3%
O 883
 
7.0%
T 780
 
6.2%
S 711
 
5.6%
I 625
 
4.9%
C 448
 
3.5%
Other values (23) 3749
29.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12671
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
E 1297
 
10.2%
L 1101
 
8.7%
R 1100
 
8.7%
N 1056
 
8.3%
A 921
 
7.3%
O 883
 
7.0%
T 780
 
6.2%
S 711
 
5.6%
I 625
 
4.9%
C 448
 
3.5%
Other values (23) 3749
29.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12671
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
E 1297
 
10.2%
L 1101
 
8.7%
R 1100
 
8.7%
N 1056
 
8.3%
A 921
 
7.3%
O 883
 
7.0%
T 780
 
6.2%
S 711
 
5.6%
I 625
 
4.9%
C 448
 
3.5%
Other values (23) 3749
29.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12671
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
E 1297
 
10.2%
L 1101
 
8.7%
R 1100
 
8.7%
N 1056
 
8.3%
A 921
 
7.3%
O 883
 
7.0%
T 780
 
6.2%
S 711
 
5.6%
I 625
 
4.9%
C 448
 
3.5%
Other values (23) 3749
29.6%

Street Direction
Categorical

High correlation  Missing 

Distinct4
Distinct (%)0.7%
Missing994
Missing (%)63.5%
Memory size94.7 KiB
W
200 
S
168 
N
119 
E
85 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters572
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowE
4th rowW
5th rowN

Common Values

ValueCountFrequency (%)
W 200
 
12.8%
S 168
 
10.7%
N 119
 
7.6%
E 85
 
5.4%
(Missing) 994
63.5%

Length

2025-04-14T23:19:51.914610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:19:52.030899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
w 200
35.0%
s 168
29.4%
n 119
20.8%
e 85
14.9%

Most occurring characters

ValueCountFrequency (%)
W 200
35.0%
S 168
29.4%
N 119
20.8%
E 85
14.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 572
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
W 200
35.0%
S 168
29.4%
N 119
20.8%
E 85
14.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 572
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
W 200
35.0%
S 168
29.4%
N 119
20.8%
E 85
14.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 572
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
W 200
35.0%
S 168
29.4%
N 119
20.8%
E 85
14.9%

Street Type
Categorical

High correlation  Missing 

Distinct17
Distinct (%)1.1%
Missing28
Missing (%)1.8%
Memory size91.4 KiB
RD
510 
LN
209 
AVE
205 
BLVD
161 
ST
136 
Other values (12)
317 

Length

Max length4
Median length2
Mean length2.5864759
Min length2

Characters and Unicode

Total characters3978
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st rowAVE
2nd rowRD
3rd rowBLVD
4th rowRD
5th rowFRWY

Common Values

ValueCountFrequency (%)
RD 510
32.6%
LN 209
13.3%
AVE 205
13.1%
BLVD 161
 
10.3%
ST 136
 
8.7%
DR 77
 
4.9%
FRWY 65
 
4.2%
HWY 57
 
3.6%
EXPW 39
 
2.5%
PKWY 33
 
2.1%
Other values (7) 46
 
2.9%
(Missing) 28
 
1.8%

Length

2025-04-14T23:19:52.166258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rd 510
33.2%
ln 209
13.6%
ave 205
13.3%
blvd 161
 
10.5%
st 136
 
8.8%
dr 77
 
5.0%
frwy 65
 
4.2%
hwy 57
 
3.7%
expw 39
 
2.5%
pkwy 33
 
2.1%
Other values (7) 46
 
3.0%

Most occurring characters

ValueCountFrequency (%)
D 748
18.8%
R 663
16.7%
L 376
9.5%
V 366
9.2%
E 254
 
6.4%
A 227
 
5.7%
W 222
 
5.6%
N 209
 
5.3%
Y 177
 
4.4%
B 161
 
4.0%
Other values (9) 575
14.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3978
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
D 748
18.8%
R 663
16.7%
L 376
9.5%
V 366
9.2%
E 254
 
6.4%
A 227
 
5.7%
W 222
 
5.6%
N 209
 
5.3%
Y 177
 
4.4%
B 161
 
4.0%
Other values (9) 575
14.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3978
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
D 748
18.8%
R 663
16.7%
L 376
9.5%
V 366
9.2%
E 254
 
6.4%
A 227
 
5.7%
W 222
 
5.6%
N 209
 
5.3%
Y 177
 
4.4%
B 161
 
4.0%
Other values (9) 575
14.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3978
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
D 748
18.8%
R 663
16.7%
L 376
9.5%
V 366
9.2%
E 254
 
6.4%
A 227
 
5.7%
W 222
 
5.6%
N 209
 
5.3%
Y 177
 
4.4%
B 161
 
4.0%
Other values (9) 575
14.5%

Street Unit
Text

Missing 

Distinct289
Distinct (%)45.1%
Missing925
Missing (%)59.1%
Memory size67.1 KiB
2025-04-14T23:19:52.542928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8143526
Min length1

Characters and Unicode

Total characters2445
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)32.3%

Sample

1st row#300
2nd row#200
3rd row#L-4
4th row#130
5th row101A
ValueCountFrequency (%)
100 69
 
10.8%
101 25
 
3.9%
a 24
 
3.7%
110 24
 
3.7%
b 16
 
2.5%
300 14
 
2.2%
102 10
 
1.6%
130 10
 
1.6%
200 10
 
1.6%
106 9
 
1.4%
Other values (254) 430
67.1%
2025-04-14T23:19:53.031833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 542
22.2%
1 509
20.8%
0 489
20.0%
2 199
 
8.1%
3 119
 
4.9%
5 91
 
3.7%
4 91
 
3.7%
6 82
 
3.4%
7 59
 
2.4%
8 54
 
2.2%
Other values (22) 210
 
8.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2445
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
# 542
22.2%
1 509
20.8%
0 489
20.0%
2 199
 
8.1%
3 119
 
4.9%
5 91
 
3.7%
4 91
 
3.7%
6 82
 
3.4%
7 59
 
2.4%
8 54
 
2.2%
Other values (22) 210
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2445
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
# 542
22.2%
1 509
20.8%
0 489
20.0%
2 199
 
8.1%
3 119
 
4.9%
5 91
 
3.7%
4 91
 
3.7%
6 82
 
3.4%
7 59
 
2.4%
8 54
 
2.2%
Other values (22) 210
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2445
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
# 542
22.2%
1 509
20.8%
0 489
20.0%
2 199
 
8.1%
3 119
 
4.9%
5 91
 
3.7%
4 91
 
3.7%
6 82
 
3.4%
7 59
 
2.4%
8 54
 
2.2%
Other values (22) 210
 
8.6%
Distinct1356
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size117.2 KiB
2025-04-14T23:19:53.415306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length37
Median length32
Mean length19.546616
Min length11

Characters and Unicode

Total characters30610
Distinct characters39
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1225 ?
Unique (%)78.2%

Sample

1st row510 S BECKLEY AVE
2nd row10601 PLANO RD
3rd row2902 S BUCKNER BLVD #300
4th row6186 RETAIL RD #200
5th row9334 E RL THRONTON FRWY #L-4
ValueCountFrequency (%)
rd 510
 
8.1%
ln 212
 
3.4%
ave 205
 
3.2%
w 203
 
3.2%
s 170
 
2.7%
blvd 163
 
2.6%
st 146
 
2.3%
n 119
 
1.9%
e 91
 
1.4%
dr 77
 
1.2%
Other values (1538) 4430
70.0%
2025-04-14T23:19:53.904868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4760
 
15.6%
R 1766
 
5.8%
E 1681
 
5.5%
1 1579
 
5.2%
0 1522
 
5.0%
L 1486
 
4.9%
N 1386
 
4.5%
A 1194
 
3.9%
D 1066
 
3.5%
S 1055
 
3.4%
Other values (29) 13115
42.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30610
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4760
 
15.6%
R 1766
 
5.8%
E 1681
 
5.5%
1 1579
 
5.2%
0 1522
 
5.0%
L 1486
 
4.9%
N 1386
 
4.5%
A 1194
 
3.9%
D 1066
 
3.5%
S 1055
 
3.4%
Other values (29) 13115
42.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30610
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4760
 
15.6%
R 1766
 
5.8%
E 1681
 
5.5%
1 1579
 
5.2%
0 1522
 
5.0%
L 1486
 
4.9%
N 1386
 
4.5%
A 1194
 
3.9%
D 1066
 
3.5%
S 1055
 
3.4%
Other values (29) 13115
42.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30610
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4760
 
15.6%
R 1766
 
5.8%
E 1681
 
5.5%
1 1579
 
5.2%
0 1522
 
5.0%
L 1486
 
4.9%
N 1386
 
4.5%
A 1194
 
3.9%
D 1066
 
3.5%
S 1055
 
3.4%
Other values (29) 13115
42.8%
Distinct73
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size95.0 KiB
2025-04-14T23:19:54.122018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.0523627
Min length5

Characters and Unicode

Total characters7912
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)1.7%

Sample

1st row75203-2644
2nd row75238
3rd row75227
4th row75039
5th row75228
ValueCountFrequency (%)
75217 84
 
5.4%
75211 83
 
5.3%
75228 82
 
5.2%
75220 76
 
4.9%
75231 69
 
4.4%
75243 66
 
4.2%
75218 58
 
3.7%
75208 56
 
3.6%
75240 54
 
3.4%
75230 52
 
3.3%
Other values (63) 886
56.6%
2025-04-14T23:19:54.441292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2021
25.5%
7 1757
22.2%
5 1750
22.1%
1 562
 
7.1%
3 472
 
6.0%
0 439
 
5.5%
4 373
 
4.7%
8 283
 
3.6%
6 143
 
1.8%
9 98
 
1.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7912
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 2021
25.5%
7 1757
22.2%
5 1750
22.1%
1 562
 
7.1%
3 472
 
6.0%
0 439
 
5.5%
4 373
 
4.7%
8 283
 
3.6%
6 143
 
1.8%
9 98
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7912
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 2021
25.5%
7 1757
22.2%
5 1750
22.1%
1 562
 
7.1%
3 472
 
6.0%
0 439
 
5.5%
4 373
 
4.7%
8 283
 
3.6%
6 143
 
1.8%
9 98
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7912
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 2021
25.5%
7 1757
22.2%
5 1750
22.1%
1 562
 
7.1%
3 472
 
6.0%
0 439
 
5.5%
4 373
 
4.7%
8 283
 
3.6%
6 143
 
1.8%
9 98
 
1.2%
Distinct197
Distinct (%)13.4%
Missing96
Missing (%)6.1%
Memory size159.7 KiB
2025-04-14T23:19:54.726504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length84
Mean length45.268707
Min length13

Characters and Unicode

Total characters66545
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)4.6%

Sample

1st row*24 Food Labeling- with common name of the food
2nd row*32 Equipment and Utensils Durability and Strength
3rd row*39 Store all equipment & utensil covered or inverted
4th row*39 Store equipment & utensils - avoid contamination
5th row*29 Food thermometers provided and accessible
ValueCountFrequency (%)
food 454
 
4.3%
309
 
2.9%
10 248
 
2.3%
and 248
 
2.3%
or 201
 
1.9%
cross 182
 
1.7%
in 177
 
1.7%
clean 163
 
1.5%
equipment 162
 
1.5%
touch 153
 
1.4%
Other values (564) 8327
78.4%
2025-04-14T23:19:55.162146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9345
14.0%
e 5046
 
7.6%
o 5029
 
7.6%
n 4113
 
6.2%
t 3869
 
5.8%
i 3783
 
5.7%
a 3682
 
5.5%
r 2956
 
4.4%
s 2840
 
4.3%
d 2530
 
3.8%
Other values (66) 23352
35.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 66545
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9345
14.0%
e 5046
 
7.6%
o 5029
 
7.6%
n 4113
 
6.2%
t 3869
 
5.8%
i 3783
 
5.7%
a 3682
 
5.5%
r 2956
 
4.4%
s 2840
 
4.3%
d 2530
 
3.8%
Other values (66) 23352
35.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 66545
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9345
14.0%
e 5046
 
7.6%
o 5029
 
7.6%
n 4113
 
6.2%
t 3869
 
5.8%
i 3783
 
5.7%
a 3682
 
5.5%
r 2956
 
4.4%
s 2840
 
4.3%
d 2530
 
3.8%
Other values (66) 23352
35.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 66545
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9345
14.0%
e 5046
 
7.6%
o 5029
 
7.6%
n 4113
 
6.2%
t 3869
 
5.8%
i 3783
 
5.7%
a 3682
 
5.5%
r 2956
 
4.4%
s 2840
 
4.3%
d 2530
 
3.8%
Other values (66) 23352
35.1%

Violation Points - 1
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.2%
Missing96
Missing (%)6.1%
Memory size92.3 KiB
3.0
757 
2.0
368 
1.0
345 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters4410
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 757
48.3%
2.0 368
23.5%
1.0 345
22.0%
(Missing) 96
 
6.1%

Length

2025-04-14T23:19:55.276182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:19:55.343248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
3.0 757
51.5%
2.0 368
25.0%
1.0 345
23.5%

Most occurring characters

ValueCountFrequency (%)
. 1470
33.3%
0 1470
33.3%
3 757
17.2%
2 368
 
8.3%
1 345
 
7.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4410
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1470
33.3%
0 1470
33.3%
3 757
17.2%
2 368
 
8.3%
1 345
 
7.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4410
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1470
33.3%
0 1470
33.3%
3 757
17.2%
2 368
 
8.3%
1 345
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4410
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1470
33.3%
0 1470
33.3%
3 757
17.2%
2 368
 
8.3%
1 345
 
7.8%

Violation Detail - 1
Text

Missing 

Distinct196
Distinct (%)13.4%
Missing106
Missing (%)6.8%
Memory size762.4 KiB
2025-04-14T23:19:55.569283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length888
Median length684
Mean length385.41507
Min length125

Characters and Unicode

Total characters562706
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)4.8%

Sample

1st row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;
2nd row228.103 Equipment, Utensils, and Linens. Durability and strength. (a) Equipment and utensils. Equipment and utensils shall be designed and constructed to be durable and to retain their characteristic qualities under normal use conditions.
3rd row228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.
4th row228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (B) where they are not exposed to splash, dust, or other contamination; and
5th row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (b) Food temperature measuring devices. Food temperature measuring devices shall be provided readily accessible for use in ensuring attainment and maintenance of food temperatures as specified under Subchapter C of this chapter (relating to Food).
ValueCountFrequency (%)
and 4859
 
6.2%
food 2914
 
3.7%
of 2677
 
3.4%
the 2208
 
2.8%
a 1979
 
2.5%
shall 1803
 
2.3%
in 1757
 
2.3%
equipment 1655
 
2.1%
be 1545
 
2.0%
or 1476
 
1.9%
Other values (1325) 55196
70.7%
2025-04-14T23:19:55.976225image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116090
20.6%
e 45909
 
8.2%
a 34011
 
6.0%
n 33572
 
6.0%
i 31964
 
5.7%
t 31746
 
5.6%
o 31015
 
5.5%
s 28968
 
5.1%
r 21797
 
3.9%
d 19437
 
3.5%
Other values (62) 168197
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 562706
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
116090
20.6%
e 45909
 
8.2%
a 34011
 
6.0%
n 33572
 
6.0%
i 31964
 
5.7%
t 31746
 
5.6%
o 31015
 
5.5%
s 28968
 
5.1%
r 21797
 
3.9%
d 19437
 
3.5%
Other values (62) 168197
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 562706
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
116090
20.6%
e 45909
 
8.2%
a 34011
 
6.0%
n 33572
 
6.0%
i 31964
 
5.7%
t 31746
 
5.6%
o 31015
 
5.5%
s 28968
 
5.1%
r 21797
 
3.9%
d 19437
 
3.5%
Other values (62) 168197
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 562706
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
116090
20.6%
e 45909
 
8.2%
a 34011
 
6.0%
n 33572
 
6.0%
i 31964
 
5.7%
t 31746
 
5.6%
o 31015
 
5.5%
s 28968
 
5.1%
r 21797
 
3.9%
d 19437
 
3.5%
Other values (62) 168197
29.9%

Violation Memo - 1
Text

Missing 

Distinct1305
Distinct (%)94.2%
Missing180
Missing (%)11.5%
Memory size149.7 KiB
2025-04-14T23:19:56.333257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length217
Median length112
Mean length49.354257
Min length4

Characters and Unicode

Total characters68405
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1254 ?
Unique (%)90.5%

Sample

1st rowLabel ketchup/condiment dispensers in lobby for customer self service
2nd rowprovide commercial cooler/freezer for customer food
3rd rowInvert to go containers.
4th rowutensils should not be in mop sink
5th rowThermometer in the walk in cooler is not reading properly
ValueCountFrequency (%)
in 323
 
2.7%
observed 268
 
2.2%
food 261
 
2.2%
clean 214
 
1.8%
at 213
 
1.8%
to 210
 
1.8%
on 198
 
1.7%
and 165
 
1.4%
the 158
 
1.3%
not 156
 
1.3%
Other values (1491) 9806
81.9%
2025-04-14T23:19:56.851344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10608
15.5%
e 6243
 
9.1%
o 4357
 
6.4%
a 3749
 
5.5%
n 3523
 
5.2%
t 3440
 
5.0%
i 3372
 
4.9%
s 3230
 
4.7%
r 3159
 
4.6%
d 2383
 
3.5%
Other values (69) 24341
35.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 68405
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
10608
15.5%
e 6243
 
9.1%
o 4357
 
6.4%
a 3749
 
5.5%
n 3523
 
5.2%
t 3440
 
5.0%
i 3372
 
4.9%
s 3230
 
4.7%
r 3159
 
4.6%
d 2383
 
3.5%
Other values (69) 24341
35.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 68405
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
10608
15.5%
e 6243
 
9.1%
o 4357
 
6.4%
a 3749
 
5.5%
n 3523
 
5.2%
t 3440
 
5.0%
i 3372
 
4.9%
s 3230
 
4.7%
r 3159
 
4.6%
d 2383
 
3.5%
Other values (69) 24341
35.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 68405
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
10608
15.5%
e 6243
 
9.1%
o 4357
 
6.4%
a 3749
 
5.5%
n 3523
 
5.2%
t 3440
 
5.0%
i 3372
 
4.9%
s 3230
 
4.7%
r 3159
 
4.6%
d 2383
 
3.5%
Other values (69) 24341
35.6%
Distinct209
Distinct (%)15.4%
Missing209
Missing (%)13.3%
Memory size143.2 KiB
2025-04-14T23:19:57.084923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length82
Mean length44.793662
Min length12

Characters and Unicode

Total characters60785
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)6.2%

Sample

1st row*42 Dirty nonfood contact surfaces
2nd row*34 Outer openings:closing holes, gaps
3rd row*33 Service sink or one curbed cleaning facility provided
4th row*42 Dirty nonfood contact surfaces
5th row*39 Keep utensils handles upright or protected
ValueCountFrequency (%)
food 391
 
4.1%
337
 
3.5%
and 175
 
1.8%
in 160
 
1.7%
10 148
 
1.5%
42 126
 
1.3%
equipment 124
 
1.3%
surfaces 112
 
1.2%
dirty 110
 
1.1%
good 103
 
1.1%
Other values (598) 7841
81.4%
2025-04-14T23:19:57.846554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8444
13.9%
e 4875
 
8.0%
o 4398
 
7.2%
n 3724
 
6.1%
i 3670
 
6.0%
t 3590
 
5.9%
a 3260
 
5.4%
r 2858
 
4.7%
s 2831
 
4.7%
d 2286
 
3.8%
Other values (65) 20849
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 60785
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8444
13.9%
e 4875
 
8.0%
o 4398
 
7.2%
n 3724
 
6.1%
i 3670
 
6.0%
t 3590
 
5.9%
a 3260
 
5.4%
r 2858
 
4.7%
s 2831
 
4.7%
d 2286
 
3.8%
Other values (65) 20849
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 60785
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8444
13.9%
e 4875
 
8.0%
o 4398
 
7.2%
n 3724
 
6.1%
i 3670
 
6.0%
t 3590
 
5.9%
a 3260
 
5.4%
r 2858
 
4.7%
s 2831
 
4.7%
d 2286
 
3.8%
Other values (65) 20849
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 60785
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8444
13.9%
e 4875
 
8.0%
o 4398
 
7.2%
n 3724
 
6.1%
i 3670
 
6.0%
t 3590
 
5.9%
a 3260
 
5.4%
r 2858
 
4.7%
s 2831
 
4.7%
d 2286
 
3.8%
Other values (65) 20849
34.3%

Violation Points - 2
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.2%
Missing209
Missing (%)13.3%
Memory size92.7 KiB
1.0
473 
3.0
453 
2.0
431 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters4071
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 473
30.2%
3.0 453
28.9%
2.0 431
27.5%
(Missing) 209
13.3%

Length

2025-04-14T23:19:57.962730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:19:58.031632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 473
34.9%
3.0 453
33.4%
2.0 431
31.8%

Most occurring characters

ValueCountFrequency (%)
. 1357
33.3%
0 1357
33.3%
1 473
 
11.6%
3 453
 
11.1%
2 431
 
10.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4071
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1357
33.3%
0 1357
33.3%
1 473
 
11.6%
3 453
 
11.1%
2 431
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4071
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1357
33.3%
0 1357
33.3%
1 473
 
11.6%
3 453
 
11.1%
2 431
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4071
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1357
33.3%
0 1357
33.3%
1 473
 
11.6%
3 453
 
11.1%
2 431
 
10.6%

Violation Detail - 2
Text

Missing 

Distinct210
Distinct (%)15.6%
Missing220
Missing (%)14.0%
Memory size672.1 KiB
2025-04-14T23:19:58.350559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length888
Median length675
Mean length366.97697
Min length163

Characters and Unicode

Total characters493951
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)6.5%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
2nd row228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (A) filling or closing holes and other gaps along floors, walls and ceilings;
3rd row228.147 Water, Plumbing, and Waste. Plumbing, numbers and capacities. (c) Service sink. (1) At least one service sink or one curbed cleaning facility equipped with a floor drain shall be provided and conveniently located for the cleaning of mops or similar wet floor cleaning tools and for the disposal of mop water and similar liquid waste.
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.125 Preventing Contamination. (a) Kitchenware and tableware. (2) Knives, forks, and spoons that are not prewrapped shall be presented so that only the handles are touched by employees and by consumers if consumer self-service is provided.
ValueCountFrequency (%)
and 4004
 
5.8%
food 2728
 
4.0%
of 2375
 
3.5%
the 2295
 
3.4%
a 1936
 
2.8%
shall 1658
 
2.4%
equipment 1544
 
2.3%
in 1541
 
2.2%
be 1411
 
2.1%
utensils 1136
 
1.7%
Other values (1412) 47876
69.9%
2025-04-14T23:19:58.849255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
100250
20.3%
e 41517
 
8.4%
a 29659
 
6.0%
n 29482
 
6.0%
t 28335
 
5.7%
i 28135
 
5.7%
o 26679
 
5.4%
s 25831
 
5.2%
r 19317
 
3.9%
d 17038
 
3.4%
Other values (61) 147708
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 493951
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
100250
20.3%
e 41517
 
8.4%
a 29659
 
6.0%
n 29482
 
6.0%
t 28335
 
5.7%
i 28135
 
5.7%
o 26679
 
5.4%
s 25831
 
5.2%
r 19317
 
3.9%
d 17038
 
3.4%
Other values (61) 147708
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 493951
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
100250
20.3%
e 41517
 
8.4%
a 29659
 
6.0%
n 29482
 
6.0%
t 28335
 
5.7%
i 28135
 
5.7%
o 26679
 
5.4%
s 25831
 
5.2%
r 19317
 
3.9%
d 17038
 
3.4%
Other values (61) 147708
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 493951
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
100250
20.3%
e 41517
 
8.4%
a 29659
 
6.0%
n 29482
 
6.0%
t 28335
 
5.7%
i 28135
 
5.7%
o 26679
 
5.4%
s 25831
 
5.2%
r 19317
 
3.9%
d 17038
 
3.4%
Other values (61) 147708
29.9%

Violation Memo - 2
Text

Missing 

Distinct1184
Distinct (%)94.1%
Missing308
Missing (%)19.7%
Memory size137.6 KiB
2025-04-14T23:19:59.172137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length462
Median length112
Mean length47.062003
Min length4

Characters and Unicode

Total characters59204
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1136 ?
Unique (%)90.3%

Sample

1st rowClean wire racks in walk-in cooler
2nd rowrepair gap at entrance door
3rd rowitems can not be placed in mop sink
4th rowclean ice machine air filter
5th rowDo not allow ice scoop handle to contact ice.
ValueCountFrequency (%)
in 311
 
3.1%
food 250
 
2.5%
clean 212
 
2.1%
on 194
 
1.9%
to 177
 
1.8%
observed 175
 
1.7%
and 153
 
1.5%
for 135
 
1.3%
of 133
 
1.3%
provide 129
 
1.3%
Other values (1362) 8210
81.5%
2025-04-14T23:19:59.657174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8855
15.0%
e 5578
 
9.4%
o 3976
 
6.7%
n 3412
 
5.8%
a 3389
 
5.7%
i 3177
 
5.4%
t 3074
 
5.2%
r 3052
 
5.2%
s 2936
 
5.0%
d 2143
 
3.6%
Other values (69) 19612
33.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 59204
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8855
15.0%
e 5578
 
9.4%
o 3976
 
6.7%
n 3412
 
5.8%
a 3389
 
5.7%
i 3177
 
5.4%
t 3074
 
5.2%
r 3052
 
5.2%
s 2936
 
5.0%
d 2143
 
3.6%
Other values (69) 19612
33.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 59204
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8855
15.0%
e 5578
 
9.4%
o 3976
 
6.7%
n 3412
 
5.8%
a 3389
 
5.7%
i 3177
 
5.4%
t 3074
 
5.2%
r 3052
 
5.2%
s 2936
 
5.0%
d 2143
 
3.6%
Other values (69) 19612
33.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 59204
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8855
15.0%
e 5578
 
9.4%
o 3976
 
6.7%
n 3412
 
5.8%
a 3389
 
5.7%
i 3177
 
5.4%
t 3074
 
5.2%
r 3052
 
5.2%
s 2936
 
5.0%
d 2143
 
3.6%
Other values (69) 19612
33.1%
Distinct196
Distinct (%)16.6%
Missing383
Missing (%)24.5%
Memory size130.4 KiB
2025-04-14T23:19:59.910842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length74
Mean length44.814877
Min length12

Characters and Unicode

Total characters53016
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)5.9%

Sample

1st row*28 Date marking > 24 hrs,on site,temp 41F
2nd row*24 Food Label- manufacture/packer/distrubtor name
3rd row*42 Dirty nonfood contact surfaces
4th row*47 Handwashing signage
5th row*19 Water & Plumbing in good repair- per code
ValueCountFrequency (%)
food 315
 
3.8%
284
 
3.4%
in 142
 
1.7%
and 126
 
1.5%
equipment 116
 
1.4%
or 111
 
1.3%
of 102
 
1.2%
42 99
 
1.2%
dirty 89
 
1.1%
surfaces 86
 
1.0%
Other values (605) 6863
82.4%
2025-04-14T23:20:00.313170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7268
 
13.7%
e 4275
 
8.1%
o 3711
 
7.0%
i 3364
 
6.3%
n 3240
 
6.1%
t 3163
 
6.0%
a 2767
 
5.2%
s 2657
 
5.0%
r 2426
 
4.6%
d 1908
 
3.6%
Other values (66) 18237
34.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 53016
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
7268
 
13.7%
e 4275
 
8.1%
o 3711
 
7.0%
i 3364
 
6.3%
n 3240
 
6.1%
t 3163
 
6.0%
a 2767
 
5.2%
s 2657
 
5.0%
r 2426
 
4.6%
d 1908
 
3.6%
Other values (66) 18237
34.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 53016
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
7268
 
13.7%
e 4275
 
8.1%
o 3711
 
7.0%
i 3364
 
6.3%
n 3240
 
6.1%
t 3163
 
6.0%
a 2767
 
5.2%
s 2657
 
5.0%
r 2426
 
4.6%
d 1908
 
3.6%
Other values (66) 18237
34.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 53016
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
7268
 
13.7%
e 4275
 
8.1%
o 3711
 
7.0%
i 3364
 
6.3%
n 3240
 
6.1%
t 3163
 
6.0%
a 2767
 
5.2%
s 2657
 
5.0%
r 2426
 
4.6%
d 1908
 
3.6%
Other values (66) 18237
34.4%

Violation Points - 3
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.3%
Missing383
Missing (%)24.5%
Memory size93.4 KiB
1.0
502 
2.0
440 
3.0
241 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3549
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 502
32.1%
2.0 440
28.1%
3.0 241
15.4%
(Missing) 383
24.5%

Length

2025-04-14T23:20:00.425057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:00.511652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 502
42.4%
2.0 440
37.2%
3.0 241
20.4%

Most occurring characters

ValueCountFrequency (%)
. 1183
33.3%
0 1183
33.3%
1 502
14.1%
2 440
 
12.4%
3 241
 
6.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3549
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1183
33.3%
0 1183
33.3%
1 502
14.1%
2 440
 
12.4%
3 241
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3549
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1183
33.3%
0 1183
33.3%
1 502
14.1%
2 440
 
12.4%
3 241
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3549
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1183
33.3%
0 1183
33.3%
1 502
14.1%
2 440
 
12.4%
3 241
 
6.8%

Violation Detail - 3
Text

Missing 

Distinct197
Distinct (%)16.9%
Missing400
Missing (%)25.5%
Memory size556.0 KiB
2025-04-14T23:20:00.781980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length878
Median length591
Mean length358.88851
Min length125

Characters and Unicode

Total characters418464
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)6.1%

Sample

1st row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
2nd row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (D) the name and place of business of the manufacturer, packer, or distributor; and
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
5th row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and
ValueCountFrequency (%)
and 3222
 
5.6%
food 2308
 
4.0%
of 1999
 
3.5%
the 1936
 
3.4%
a 1653
 
2.9%
shall 1374
 
2.4%
in 1298
 
2.2%
equipment 1210
 
2.1%
be 1190
 
2.1%
or 1049
 
1.8%
Other values (1423) 40485
70.1%
2025-04-14T23:20:01.224282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84337
20.2%
e 35514
 
8.5%
a 25018
 
6.0%
n 24607
 
5.9%
i 24460
 
5.8%
t 23977
 
5.7%
s 22537
 
5.4%
o 22329
 
5.3%
r 16750
 
4.0%
d 14269
 
3.4%
Other values (62) 124666
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 418464
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
84337
20.2%
e 35514
 
8.5%
a 25018
 
6.0%
n 24607
 
5.9%
i 24460
 
5.8%
t 23977
 
5.7%
s 22537
 
5.4%
o 22329
 
5.3%
r 16750
 
4.0%
d 14269
 
3.4%
Other values (62) 124666
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 418464
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
84337
20.2%
e 35514
 
8.5%
a 25018
 
6.0%
n 24607
 
5.9%
i 24460
 
5.8%
t 23977
 
5.7%
s 22537
 
5.4%
o 22329
 
5.3%
r 16750
 
4.0%
d 14269
 
3.4%
Other values (62) 124666
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 418464
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
84337
20.2%
e 35514
 
8.5%
a 25018
 
6.0%
n 24607
 
5.9%
i 24460
 
5.8%
t 23977
 
5.7%
s 22537
 
5.4%
o 22329
 
5.3%
r 16750
 
4.0%
d 14269
 
3.4%
Other values (62) 124666
29.8%

Violation Memo - 3
Text

Missing 

Distinct1034
Distinct (%)95.5%
Missing483
Missing (%)30.8%
Memory size124.5 KiB
2025-04-14T23:20:01.555743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1358
Median length102
Mean length46.301939
Min length5

Characters and Unicode

Total characters50145
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique996 ?
Unique (%)92.0%

Sample

1st rowclearly date mark tcs food for 7 days
2nd rowseeds
3rd rowClean WIC compressor vents and cooler gaskets.
4th rowneed hand washing signs at hand sinks
5th row3 comp sink observed a leak from bottom side
ValueCountFrequency (%)
in 251
 
3.0%
food 207
 
2.5%
on 171
 
2.0%
clean 161
 
1.9%
to 148
 
1.8%
provide 126
 
1.5%
observed 123
 
1.5%
and 113
 
1.3%
sink 113
 
1.3%
not 104
 
1.2%
Other values (1271) 6881
81.9%
2025-04-14T23:20:02.063931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7568
15.1%
e 4694
 
9.4%
o 3231
 
6.4%
n 2804
 
5.6%
a 2802
 
5.6%
i 2671
 
5.3%
r 2593
 
5.2%
t 2586
 
5.2%
s 2551
 
5.1%
d 1822
 
3.6%
Other values (67) 16823
33.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 50145
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
7568
15.1%
e 4694
 
9.4%
o 3231
 
6.4%
n 2804
 
5.6%
a 2802
 
5.6%
i 2671
 
5.3%
r 2593
 
5.2%
t 2586
 
5.2%
s 2551
 
5.1%
d 1822
 
3.6%
Other values (67) 16823
33.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 50145
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
7568
15.1%
e 4694
 
9.4%
o 3231
 
6.4%
n 2804
 
5.6%
a 2802
 
5.6%
i 2671
 
5.3%
r 2593
 
5.2%
t 2586
 
5.2%
s 2551
 
5.1%
d 1822
 
3.6%
Other values (67) 16823
33.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 50145
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
7568
15.1%
e 4694
 
9.4%
o 3231
 
6.4%
n 2804
 
5.6%
a 2802
 
5.6%
i 2671
 
5.3%
r 2593
 
5.2%
t 2586
 
5.2%
s 2551
 
5.1%
d 1822
 
3.6%
Other values (67) 16823
33.5%
Distinct174
Distinct (%)17.4%
Missing566
Missing (%)36.1%
Memory size118.0 KiB
2025-04-14T23:20:02.375125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length74
Mean length45.077
Min length13

Characters and Unicode

Total characters45077
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)6.5%

Sample

1st row*47 Health permit posted
2nd row*10 Chlorine sanitizer concentration, minimum temp.
3rd row*22 Accredited food handler certificate - 60 days
4th row*29 Sanitizing solutions, testing devices
5th row*42 Dirty nonfood contact surfaces
ValueCountFrequency (%)
food 274
 
3.9%
244
 
3.4%
in 122
 
1.7%
equipment 97
 
1.4%
42 93
 
1.3%
and 92
 
1.3%
the 90
 
1.3%
for 89
 
1.3%
dirty 86
 
1.2%
or 86
 
1.2%
Other values (546) 5820
82.1%
2025-04-14T23:20:02.950372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6194
 
13.7%
e 3625
 
8.0%
o 3225
 
7.2%
i 2788
 
6.2%
n 2685
 
6.0%
t 2656
 
5.9%
s 2308
 
5.1%
a 2233
 
5.0%
r 2090
 
4.6%
d 1652
 
3.7%
Other values (66) 15621
34.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 45077
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6194
 
13.7%
e 3625
 
8.0%
o 3225
 
7.2%
i 2788
 
6.2%
n 2685
 
6.0%
t 2656
 
5.9%
s 2308
 
5.1%
a 2233
 
5.0%
r 2090
 
4.6%
d 1652
 
3.7%
Other values (66) 15621
34.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 45077
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6194
 
13.7%
e 3625
 
8.0%
o 3225
 
7.2%
i 2788
 
6.2%
n 2685
 
6.0%
t 2656
 
5.9%
s 2308
 
5.1%
a 2233
 
5.0%
r 2090
 
4.6%
d 1652
 
3.7%
Other values (66) 15621
34.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 45077
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6194
 
13.7%
e 3625
 
8.0%
o 3225
 
7.2%
i 2788
 
6.2%
n 2685
 
6.0%
t 2656
 
5.9%
s 2308
 
5.1%
a 2233
 
5.0%
r 2090
 
4.6%
d 1652
 
3.7%
Other values (66) 15621
34.7%

Violation Points - 4
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.3%
Missing566
Missing (%)36.1%
Memory size94.1 KiB
1.0
501 
2.0
340 
3.0
159 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3000
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 501
32.0%
2.0 340
21.7%
3.0 159
 
10.2%
(Missing) 566
36.1%

Length

2025-04-14T23:20:03.109039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:03.205884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 501
50.1%
2.0 340
34.0%
3.0 159
 
15.9%

Most occurring characters

ValueCountFrequency (%)
. 1000
33.3%
0 1000
33.3%
1 501
16.7%
2 340
 
11.3%
3 159
 
5.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1000
33.3%
0 1000
33.3%
1 501
16.7%
2 340
 
11.3%
3 159
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1000
33.3%
0 1000
33.3%
1 501
16.7%
2 340
 
11.3%
3 159
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1000
33.3%
0 1000
33.3%
1 501
16.7%
2 340
 
11.3%
3 159
 
5.3%

Violation Detail - 4
Text

Missing 

Distinct175
Distinct (%)17.9%
Missing590
Missing (%)37.7%
Memory size464.8 KiB
2025-04-14T23:20:03.647301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length910
Median length575
Mean length349.65266
Min length125

Characters and Unicode

Total characters341261
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)7.0%

Sample

1st rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (11) Display. A food establishment that operates from a fixed facility shall display its permit in a frame with a glass cover at a prominent place inside the facility where it can be easily seen by the public.
2nd row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (n) Manual and mechanical warewashing equipment, chemical sanitization - temperature, pH, concentration, and hardness. A chemical sanitizer used in a sanitizing solution for a manual or mechanical operation at contact times specified in õ228.118(3) of this title shall meet the criteria in õ228.206(a) of this title, shall be used in accordance with the EPA-approved manufacturer's label use instructions, and shall be used as follows: (1) a chlorine solution shall have a minimum temperature based on the concentration and pH of the solution as listed in the following chart: Figure: 25 TAC õ228.111(n)(1)
3rd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
4th row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
ValueCountFrequency (%)
and 2579
 
5.5%
food 1937
 
4.1%
of 1638
 
3.5%
the 1516
 
3.2%
a 1330
 
2.8%
shall 1108
 
2.4%
in 1074
 
2.3%
equipment 996
 
2.1%
be 964
 
2.1%
or 761
 
1.6%
Other values (1337) 32950
70.3%
2025-04-14T23:20:04.380040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69617
20.4%
e 28965
 
8.5%
n 20041
 
5.9%
i 19911
 
5.8%
a 19680
 
5.8%
t 19484
 
5.7%
s 18336
 
5.4%
o 18117
 
5.3%
r 13452
 
3.9%
d 11573
 
3.4%
Other values (62) 102085
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 341261
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
69617
20.4%
e 28965
 
8.5%
n 20041
 
5.9%
i 19911
 
5.8%
a 19680
 
5.8%
t 19484
 
5.7%
s 18336
 
5.4%
o 18117
 
5.3%
r 13452
 
3.9%
d 11573
 
3.4%
Other values (62) 102085
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 341261
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
69617
20.4%
e 28965
 
8.5%
n 20041
 
5.9%
i 19911
 
5.8%
a 19680
 
5.8%
t 19484
 
5.7%
s 18336
 
5.4%
o 18117
 
5.3%
r 13452
 
3.9%
d 11573
 
3.4%
Other values (62) 102085
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 341261
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
69617
20.4%
e 28965
 
8.5%
n 20041
 
5.9%
i 19911
 
5.8%
a 19680
 
5.8%
t 19484
 
5.7%
s 18336
 
5.4%
o 18117
 
5.3%
r 13452
 
3.9%
d 11573
 
3.4%
Other values (62) 102085
29.9%

Violation Memo - 4
Text

Missing 

Distinct881
Distinct (%)96.0%
Missing648
Missing (%)41.4%
Memory size112.0 KiB
2025-04-14T23:20:04.830912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length845
Median length102
Mean length45.200436
Min length4

Characters and Unicode

Total characters41494
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique857 ?
Unique (%)93.4%

Sample

1st rowchange name of establishment on health permit
2nd rowno sanitizer 0 ppm chlorine
3rd rowall employees need food handler cards
4th rowProvide QA test strips (3-compartment sink)
5th rowCLEAN COOLER RACKS
ValueCountFrequency (%)
in 214
 
3.0%
food 212
 
3.0%
on 156
 
2.2%
to 139
 
1.9%
clean 136
 
1.9%
provide 115
 
1.6%
and 110
 
1.5%
observed 98
 
1.4%
sink 95
 
1.3%
not 94
 
1.3%
Other values (1121) 5782
80.9%
2025-04-14T23:20:05.293573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6348
15.3%
e 3878
 
9.3%
o 3006
 
7.2%
n 2420
 
5.8%
a 2344
 
5.6%
t 2184
 
5.3%
r 2150
 
5.2%
i 2128
 
5.1%
s 2068
 
5.0%
d 1577
 
3.8%
Other values (69) 13391
32.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 41494
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6348
15.3%
e 3878
 
9.3%
o 3006
 
7.2%
n 2420
 
5.8%
a 2344
 
5.6%
t 2184
 
5.3%
r 2150
 
5.2%
i 2128
 
5.1%
s 2068
 
5.0%
d 1577
 
3.8%
Other values (69) 13391
32.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 41494
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6348
15.3%
e 3878
 
9.3%
o 3006
 
7.2%
n 2420
 
5.8%
a 2344
 
5.6%
t 2184
 
5.3%
r 2150
 
5.2%
i 2128
 
5.1%
s 2068
 
5.0%
d 1577
 
3.8%
Other values (69) 13391
32.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 41494
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6348
15.3%
e 3878
 
9.3%
o 3006
 
7.2%
n 2420
 
5.8%
a 2344
 
5.6%
t 2184
 
5.3%
r 2150
 
5.2%
i 2128
 
5.1%
s 2068
 
5.0%
d 1577
 
3.8%
Other values (69) 13391
32.3%
Distinct164
Distinct (%)20.0%
Missing747
Missing (%)47.7%
Memory size106.8 KiB
2025-04-14T23:20:05.527768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length80
Mean length46.603175
Min length16

Characters and Unicode

Total characters38168
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)7.3%

Sample

1st row*46 Enclosed toilet room w/self closing doors
2nd row*22 Accredited food handler certificate - 60 days
3rd row*45Floor, wall, ceiling - Exposed material
4th row*42 Dirty nonfood contact surfaces
5th row*37 Storing the food at least 15 cm (6 inches) above the floor
ValueCountFrequency (%)
food 237
 
4.0%
178
 
3.0%
equipment 110
 
1.9%
in 102
 
1.7%
42 85
 
1.4%
or 80
 
1.4%
dirty 80
 
1.4%
of 75
 
1.3%
surfaces 72
 
1.2%
the 71
 
1.2%
Other values (529) 4803
81.5%
2025-04-14T23:20:05.932873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5153
 
13.5%
e 3093
 
8.1%
o 2787
 
7.3%
i 2468
 
6.5%
n 2374
 
6.2%
t 2252
 
5.9%
a 1970
 
5.2%
s 1927
 
5.0%
r 1775
 
4.7%
d 1334
 
3.5%
Other values (66) 13035
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 38168
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5153
 
13.5%
e 3093
 
8.1%
o 2787
 
7.3%
i 2468
 
6.5%
n 2374
 
6.2%
t 2252
 
5.9%
a 1970
 
5.2%
s 1927
 
5.0%
r 1775
 
4.7%
d 1334
 
3.5%
Other values (66) 13035
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 38168
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5153
 
13.5%
e 3093
 
8.1%
o 2787
 
7.3%
i 2468
 
6.5%
n 2374
 
6.2%
t 2252
 
5.9%
a 1970
 
5.2%
s 1927
 
5.0%
r 1775
 
4.7%
d 1334
 
3.5%
Other values (66) 13035
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 38168
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5153
 
13.5%
e 3093
 
8.1%
o 2787
 
7.3%
i 2468
 
6.5%
n 2374
 
6.2%
t 2252
 
5.9%
a 1970
 
5.2%
s 1927
 
5.0%
r 1775
 
4.7%
d 1334
 
3.5%
Other values (66) 13035
34.2%

Violation Points - 5
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.4%
Missing747
Missing (%)47.7%
Memory size94.8 KiB
1.0
459 
2.0
256 
3.0
104 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2457
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 459
29.3%
2.0 256
 
16.3%
3.0 104
 
6.6%
(Missing) 747
47.7%

Length

2025-04-14T23:20:06.037081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:06.100662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 459
56.0%
2.0 256
31.3%
3.0 104
 
12.7%

Most occurring characters

ValueCountFrequency (%)
. 819
33.3%
0 819
33.3%
1 459
18.7%
2 256
 
10.4%
3 104
 
4.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2457
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 819
33.3%
0 819
33.3%
1 459
18.7%
2 256
 
10.4%
3 104
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2457
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 819
33.3%
0 819
33.3%
1 459
18.7%
2 256
 
10.4%
3 104
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2457
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 819
33.3%
0 819
33.3%
1 459
18.7%
2 256
 
10.4%
3 104
 
4.2%

Violation Detail - 5
Text

Missing 

Distinct166
Distinct (%)20.5%
Missing755
Missing (%)48.2%
Memory size386.7 KiB
2025-04-14T23:20:06.392192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length888
Median length545
Mean length350.35758
Min length163

Characters and Unicode

Total characters284140
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)7.8%

Sample

1st row228.174 Physical Facilities. Functionality. (d) A toilet room located on the premises shall be completely enclosed and provided with a tight-fitting and self-closing door except that this requirement does not apply to a toilet room that is located outside a food establishment and does not open directly into the food establishment such as a toilet room that is provided by the management of a shopping mall.
2nd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
3rd row(c) Floors, walls, and ceilings. (1) A food establishment containing a food handling area, food processing area, food preparation area, food storage area, equipment or utensil washing area, walk-in refrigerating unit, dressing room, locker room, toilet room, or vestibule shall: (C) prevent exposed construction in these areas, including but not limited to the exposure of pipes, conduits, ductwork, studs, joists, and rafters;
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.
ValueCountFrequency (%)
and 2225
 
5.7%
food 1532
 
3.9%
of 1397
 
3.6%
the 1282
 
3.3%
a 1072
 
2.8%
shall 926
 
2.4%
equipment 907
 
2.3%
in 869
 
2.2%
be 837
 
2.1%
or 725
 
1.9%
Other values (1255) 27168
69.8%
2025-04-14T23:20:06.879100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58535
20.6%
e 23655
 
8.3%
n 16925
 
6.0%
a 16736
 
5.9%
i 16682
 
5.9%
t 16164
 
5.7%
s 15449
 
5.4%
o 15389
 
5.4%
r 11129
 
3.9%
d 9514
 
3.3%
Other values (61) 83962
29.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 284140
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
58535
20.6%
e 23655
 
8.3%
n 16925
 
6.0%
a 16736
 
5.9%
i 16682
 
5.9%
t 16164
 
5.7%
s 15449
 
5.4%
o 15389
 
5.4%
r 11129
 
3.9%
d 9514
 
3.3%
Other values (61) 83962
29.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 284140
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
58535
20.6%
e 23655
 
8.3%
n 16925
 
6.0%
a 16736
 
5.9%
i 16682
 
5.9%
t 16164
 
5.7%
s 15449
 
5.4%
o 15389
 
5.4%
r 11129
 
3.9%
d 9514
 
3.3%
Other values (61) 83962
29.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 284140
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
58535
20.6%
e 23655
 
8.3%
n 16925
 
6.0%
a 16736
 
5.9%
i 16682
 
5.9%
t 16164
 
5.7%
s 15449
 
5.4%
o 15389
 
5.4%
r 11129
 
3.9%
d 9514
 
3.3%
Other values (61) 83962
29.5%

Violation Memo - 5
Text

Missing 

Distinct728
Distinct (%)95.8%
Missing806
Missing (%)51.5%
Memory size99.6 KiB
2025-04-14T23:20:07.256457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length137
Median length87
Mean length43.090789
Min length4

Characters and Unicode

Total characters32749
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique706 ?
Unique (%)92.9%

Sample

1st rowrestroom door shall be closed
2nd rowco worker has no food handler
3rd rowCEILING TILES THAT ARE MISSING/BROKEN/DIRTY SHALL BE REPLACED
4th rowClean exterior of dish machine
5th rowIn WIC
ValueCountFrequency (%)
in 180
 
3.2%
food 147
 
2.6%
clean 115
 
2.1%
on 110
 
2.0%
to 92
 
1.6%
provide 87
 
1.6%
and 75
 
1.3%
sink 72
 
1.3%
observed 70
 
1.3%
be 70
 
1.3%
Other values (991) 4579
81.8%
2025-04-14T23:20:07.802651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4848
14.8%
e 3134
 
9.6%
o 2280
 
7.0%
n 1865
 
5.7%
a 1814
 
5.5%
r 1745
 
5.3%
i 1708
 
5.2%
t 1685
 
5.1%
s 1673
 
5.1%
d 1218
 
3.7%
Other values (66) 10779
32.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 32749
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4848
14.8%
e 3134
 
9.6%
o 2280
 
7.0%
n 1865
 
5.7%
a 1814
 
5.5%
r 1745
 
5.3%
i 1708
 
5.2%
t 1685
 
5.1%
s 1673
 
5.1%
d 1218
 
3.7%
Other values (66) 10779
32.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 32749
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4848
14.8%
e 3134
 
9.6%
o 2280
 
7.0%
n 1865
 
5.7%
a 1814
 
5.5%
r 1745
 
5.3%
i 1708
 
5.2%
t 1685
 
5.1%
s 1673
 
5.1%
d 1218
 
3.7%
Other values (66) 10779
32.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 32749
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4848
14.8%
e 3134
 
9.6%
o 2280
 
7.0%
n 1865
 
5.7%
a 1814
 
5.5%
r 1745
 
5.3%
i 1708
 
5.2%
t 1685
 
5.1%
s 1673
 
5.1%
d 1218
 
3.7%
Other values (66) 10779
32.9%
Distinct151
Distinct (%)22.7%
Missing902
Missing (%)57.6%
Memory size95.5 KiB
2025-04-14T23:20:08.036910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length74
Mean length45.576807
Min length13

Characters and Unicode

Total characters30263
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)9.6%

Sample

1st row*28 Date marking > 24 hrs,on site,temp 41F
2nd row*21 RFSM - Not On Site
3rd row*39 Utensils, single serve items 6 inches off - floor
4th row*41 Food storage containers, identified with common name of food.
5th row*34 Pest control-routine inspections for
ValueCountFrequency (%)
food 200
 
4.3%
135
 
2.9%
in 89
 
1.9%
42 80
 
1.7%
dirty 77
 
1.6%
equipment 76
 
1.6%
or 76
 
1.6%
surfaces 69
 
1.5%
39 63
 
1.3%
and 61
 
1.3%
Other values (478) 3774
80.3%
2025-04-14T23:20:08.420528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4112
13.6%
e 2476
 
8.2%
o 2241
 
7.4%
i 1893
 
6.3%
n 1888
 
6.2%
t 1777
 
5.9%
s 1596
 
5.3%
a 1498
 
4.9%
r 1468
 
4.9%
d 1098
 
3.6%
Other values (66) 10216
33.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30263
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4112
13.6%
e 2476
 
8.2%
o 2241
 
7.4%
i 1893
 
6.3%
n 1888
 
6.2%
t 1777
 
5.9%
s 1596
 
5.3%
a 1498
 
4.9%
r 1468
 
4.9%
d 1098
 
3.6%
Other values (66) 10216
33.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30263
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4112
13.6%
e 2476
 
8.2%
o 2241
 
7.4%
i 1893
 
6.3%
n 1888
 
6.2%
t 1777
 
5.9%
s 1596
 
5.3%
a 1498
 
4.9%
r 1468
 
4.9%
d 1098
 
3.6%
Other values (66) 10216
33.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30263
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4112
13.6%
e 2476
 
8.2%
o 2241
 
7.4%
i 1893
 
6.3%
n 1888
 
6.2%
t 1777
 
5.9%
s 1596
 
5.3%
a 1498
 
4.9%
r 1468
 
4.9%
d 1098
 
3.6%
Other values (66) 10216
33.8%

Violation Points - 6
Categorical

Missing 

Distinct3
Distinct (%)0.5%
Missing902
Missing (%)57.6%
Memory size95.4 KiB
1.0
409 
2.0
160 
3.0
95 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1992
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 409
26.1%
2.0 160
 
10.2%
3.0 95
 
6.1%
(Missing) 902
57.6%

Length

2025-04-14T23:20:08.526992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:08.596438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 409
61.6%
2.0 160
 
24.1%
3.0 95
 
14.3%

Most occurring characters

ValueCountFrequency (%)
. 664
33.3%
0 664
33.3%
1 409
20.5%
2 160
 
8.0%
3 95
 
4.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1992
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 664
33.3%
0 664
33.3%
1 409
20.5%
2 160
 
8.0%
3 95
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1992
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 664
33.3%
0 664
33.3%
1 409
20.5%
2 160
 
8.0%
3 95
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1992
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 664
33.3%
0 664
33.3%
1 409
20.5%
2 160
 
8.0%
3 95
 
4.8%

Violation Detail - 6
Text

Missing 

Distinct152
Distinct (%)23.2%
Missing911
Missing (%)58.2%
Memory size322.8 KiB
2025-04-14T23:20:08.876949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length888
Median length545
Mean length343.33588
Min length125

Characters and Unicode

Total characters224885
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)9.9%

Sample

1st row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
2nd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
3rd row228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (C) at least 15 centimeters (6 inches) above the floor.
4th row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (2) routinely inspecting the premises for evidence of pests;
ValueCountFrequency (%)
and 1812
 
5.9%
food 1191
 
3.9%
of 1149
 
3.7%
the 918
 
3.0%
a 826
 
2.7%
equipment 773
 
2.5%
shall 733
 
2.4%
be 660
 
2.2%
in 655
 
2.1%
utensils 549
 
1.8%
Other values (1125) 21405
69.8%
2025-04-14T23:20:09.336357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46258
20.6%
e 18979
 
8.4%
n 13475
 
6.0%
i 13253
 
5.9%
a 12951
 
5.8%
t 12719
 
5.7%
s 12306
 
5.5%
o 11953
 
5.3%
r 8755
 
3.9%
d 7525
 
3.3%
Other values (61) 66711
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 224885
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
46258
20.6%
e 18979
 
8.4%
n 13475
 
6.0%
i 13253
 
5.9%
a 12951
 
5.8%
t 12719
 
5.7%
s 12306
 
5.5%
o 11953
 
5.3%
r 8755
 
3.9%
d 7525
 
3.3%
Other values (61) 66711
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 224885
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
46258
20.6%
e 18979
 
8.4%
n 13475
 
6.0%
i 13253
 
5.9%
a 12951
 
5.8%
t 12719
 
5.7%
s 12306
 
5.5%
o 11953
 
5.3%
r 8755
 
3.9%
d 7525
 
3.3%
Other values (61) 66711
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 224885
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
46258
20.6%
e 18979
 
8.4%
n 13475
 
6.0%
i 13253
 
5.9%
a 12951
 
5.8%
t 12719
 
5.7%
s 12306
 
5.5%
o 11953
 
5.3%
r 8755
 
3.9%
d 7525
 
3.3%
Other values (61) 66711
29.7%

Violation Memo - 6
Text

Missing 

Distinct579
Distinct (%)95.1%
Missing957
Missing (%)61.1%
Memory size90.5 KiB
2025-04-14T23:20:09.926003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length324
Median length98
Mean length44.729064
Min length4

Characters and Unicode

Total characters27240
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique560 ?
Unique (%)92.0%

Sample

1st rowno date marking on items in ric
2nd rowprovide label for food storage ontainers
3rd rowProvide pest control records to prevent harboring conditions
4th rowensure soap at hand sink
5th rowprovide TCS food s to be held at 41 F or below at all times. shredded chicken, diced sausage at 71F- 66F
ValueCountFrequency (%)
in 159
 
3.4%
food 141
 
3.0%
clean 120
 
2.6%
on 94
 
2.0%
to 84
 
1.8%
of 74
 
1.6%
observed 71
 
1.5%
and 69
 
1.5%
provide 67
 
1.4%
the 56
 
1.2%
Other values (875) 3726
79.9%
2025-04-14T23:20:10.667791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4072
14.9%
e 2619
 
9.6%
o 1878
 
6.9%
n 1578
 
5.8%
a 1543
 
5.7%
i 1468
 
5.4%
r 1428
 
5.2%
t 1419
 
5.2%
s 1385
 
5.1%
l 1024
 
3.8%
Other values (64) 8826
32.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 27240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4072
14.9%
e 2619
 
9.6%
o 1878
 
6.9%
n 1578
 
5.8%
a 1543
 
5.7%
i 1468
 
5.4%
r 1428
 
5.2%
t 1419
 
5.2%
s 1385
 
5.1%
l 1024
 
3.8%
Other values (64) 8826
32.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 27240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4072
14.9%
e 2619
 
9.6%
o 1878
 
6.9%
n 1578
 
5.8%
a 1543
 
5.7%
i 1468
 
5.4%
r 1428
 
5.2%
t 1419
 
5.2%
s 1385
 
5.1%
l 1024
 
3.8%
Other values (64) 8826
32.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 27240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4072
14.9%
e 2619
 
9.6%
o 1878
 
6.9%
n 1578
 
5.8%
a 1543
 
5.7%
i 1468
 
5.4%
r 1428
 
5.2%
t 1419
 
5.2%
s 1385
 
5.1%
l 1024
 
3.8%
Other values (64) 8826
32.4%
Distinct137
Distinct (%)25.6%
Missing1030
Missing (%)65.8%
Memory size86.3 KiB
2025-04-14T23:20:10.925913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length76
Mean length45.496269
Min length13

Characters and Unicode

Total characters24386
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)10.1%

Sample

1st row*47 Conditions of Permit-in use of food equipment
2nd row*47 Other Violations
3rd row*41 Food Labeling - Bulk Food w/ Card or Sign
4th row*28 Date marking > 24 hrs,on site,temp 41F
5th row*35 Hair Restraints effective
ValueCountFrequency (%)
food 155
 
4.1%
103
 
2.7%
in 76
 
2.0%
or 64
 
1.7%
42 59
 
1.6%
dirty 55
 
1.5%
equipment 53
 
1.4%
surfaces 51
 
1.4%
45 49
 
1.3%
47 48
 
1.3%
Other values (478) 3037
81.0%
2025-04-14T23:20:11.312253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3271
 
13.4%
e 2012
 
8.3%
o 1736
 
7.1%
i 1542
 
6.3%
n 1497
 
6.1%
t 1451
 
6.0%
s 1307
 
5.4%
a 1257
 
5.2%
r 1223
 
5.0%
d 908
 
3.7%
Other values (65) 8182
33.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 24386
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3271
 
13.4%
e 2012
 
8.3%
o 1736
 
7.1%
i 1542
 
6.3%
n 1497
 
6.1%
t 1451
 
6.0%
s 1307
 
5.4%
a 1257
 
5.2%
r 1223
 
5.0%
d 908
 
3.7%
Other values (65) 8182
33.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 24386
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3271
 
13.4%
e 2012
 
8.3%
o 1736
 
7.1%
i 1542
 
6.3%
n 1497
 
6.1%
t 1451
 
6.0%
s 1307
 
5.4%
a 1257
 
5.2%
r 1223
 
5.0%
d 908
 
3.7%
Other values (65) 8182
33.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 24386
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3271
 
13.4%
e 2012
 
8.3%
o 1736
 
7.1%
i 1542
 
6.3%
n 1497
 
6.1%
t 1451
 
6.0%
s 1307
 
5.4%
a 1257
 
5.2%
r 1223
 
5.0%
d 908
 
3.7%
Other values (65) 8182
33.6%

Violation Points - 7
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.6%
Missing1030
Missing (%)65.8%
Memory size95.9 KiB
1.0
359 
2.0
117 
3.0
60 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1608
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 359
 
22.9%
2.0 117
 
7.5%
3.0 60
 
3.8%
(Missing) 1030
65.8%

Length

2025-04-14T23:20:11.417357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:11.484414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 359
67.0%
2.0 117
 
21.8%
3.0 60
 
11.2%

Most occurring characters

ValueCountFrequency (%)
. 536
33.3%
0 536
33.3%
1 359
22.3%
2 117
 
7.3%
3 60
 
3.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1608
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 536
33.3%
0 536
33.3%
1 359
22.3%
2 117
 
7.3%
3 60
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1608
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 536
33.3%
0 536
33.3%
1 359
22.3%
2 117
 
7.3%
3 60
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1608
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 536
33.3%
0 536
33.3%
1 359
22.3%
2 117
 
7.3%
3 60
 
3.7%

Violation Detail - 7
Text

Missing 

Distinct142
Distinct (%)27.3%
Missing1045
Missing (%)66.7%
Memory size271.3 KiB
2025-04-14T23:20:11.799938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1018
Median length527
Mean length350.45106
Min length125

Characters and Unicode

Total characters182585
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)11.3%

Sample

1st row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
2nd row228.79 Food. Labeling. (a) Food labels. (3) Bulk food that is available for consumer self-dispensing shall be prominently labeled with the following information in plain view of the consumer: (B) a card, sign, or other method of notification that includes the information specified in paragraph (2)(A), (B), and (F) of this subsection.
3rd row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
4th row228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.
5th row228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (2) durable, corrosion-resistant, and nonabsorbent;
ValueCountFrequency (%)
and 1451
 
5.8%
food 979
 
3.9%
of 877
 
3.5%
the 762
 
3.0%
a 704
 
2.8%
shall 606
 
2.4%
equipment 578
 
2.3%
be 557
 
2.2%
in 546
 
2.2%
or 448
 
1.8%
Other values (1164) 17559
70.0%
2025-04-14T23:20:12.295747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37385
20.5%
e 15309
 
8.4%
i 10828
 
5.9%
a 10677
 
5.8%
n 10639
 
5.8%
t 10247
 
5.6%
s 10171
 
5.6%
o 9659
 
5.3%
r 7181
 
3.9%
d 6186
 
3.4%
Other values (61) 54303
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 182585
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
37385
20.5%
e 15309
 
8.4%
i 10828
 
5.9%
a 10677
 
5.8%
n 10639
 
5.8%
t 10247
 
5.6%
s 10171
 
5.6%
o 9659
 
5.3%
r 7181
 
3.9%
d 6186
 
3.4%
Other values (61) 54303
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 182585
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
37385
20.5%
e 15309
 
8.4%
i 10828
 
5.9%
a 10677
 
5.8%
n 10639
 
5.8%
t 10247
 
5.6%
s 10171
 
5.6%
o 9659
 
5.3%
r 7181
 
3.9%
d 6186
 
3.4%
Other values (61) 54303
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 182585
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
37385
20.5%
e 15309
 
8.4%
i 10828
 
5.9%
a 10677
 
5.8%
n 10639
 
5.8%
t 10247
 
5.6%
s 10171
 
5.6%
o 9659
 
5.3%
r 7181
 
3.9%
d 6186
 
3.4%
Other values (61) 54303
29.7%

Violation Memo - 7
Text

Missing 

Distinct467
Distinct (%)95.3%
Missing1076
Missing (%)68.7%
Memory size82.0 KiB
2025-04-14T23:20:12.619694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length845
Median length79
Mean length43.738776
Min length6

Characters and Unicode

Total characters21432
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique454 ?
Unique (%)92.7%

Sample

1st rowprovide sign about inspection report
2nd rowNo pest report
3rd rowclearly date mark tcs food for 7 days only
4th rowremove sticker wrap from appliances.
5th rowprovide soap at hand sink
ValueCountFrequency (%)
in 125
 
3.4%
food 87
 
2.4%
clean 81
 
2.2%
on 68
 
1.9%
provide 67
 
1.8%
and 67
 
1.8%
to 57
 
1.6%
the 50
 
1.4%
be 48
 
1.3%
observed 46
 
1.3%
Other values (792) 2929
80.8%
2025-04-14T23:20:13.097260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3223
15.0%
e 2060
 
9.6%
o 1424
 
6.6%
n 1299
 
6.1%
a 1236
 
5.8%
i 1206
 
5.6%
t 1175
 
5.5%
r 1131
 
5.3%
s 1123
 
5.2%
d 807
 
3.8%
Other values (64) 6748
31.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 21432
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3223
15.0%
e 2060
 
9.6%
o 1424
 
6.6%
n 1299
 
6.1%
a 1236
 
5.8%
i 1206
 
5.6%
t 1175
 
5.5%
r 1131
 
5.3%
s 1123
 
5.2%
d 807
 
3.8%
Other values (64) 6748
31.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 21432
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3223
15.0%
e 2060
 
9.6%
o 1424
 
6.6%
n 1299
 
6.1%
a 1236
 
5.8%
i 1206
 
5.6%
t 1175
 
5.5%
r 1131
 
5.3%
s 1123
 
5.2%
d 807
 
3.8%
Other values (64) 6748
31.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 21432
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3223
15.0%
e 2060
 
9.6%
o 1424
 
6.6%
n 1299
 
6.1%
a 1236
 
5.8%
i 1206
 
5.6%
t 1175
 
5.5%
r 1131
 
5.3%
s 1123
 
5.2%
d 807
 
3.8%
Other values (64) 6748
31.5%
Distinct128
Distinct (%)31.7%
Missing1162
Missing (%)74.2%
Memory size77.4 KiB
2025-04-14T23:20:13.342841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length68
Mean length46.237624
Min length13

Characters and Unicode

Total characters18680
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)15.1%

Sample

1st row*36 Containers of chemical sanitizing solutions stored off the floor and used in a manner that preve
2nd row*42 Floors/walls/ceiling/nonfood dirty
3rd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
4th row*37 Storing the food at least 15 cm (6 inches) above the floor
5th row*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep
ValueCountFrequency (%)
food 135
 
4.6%
82
 
2.8%
in 54
 
1.9%
the 53
 
1.8%
equipment 40
 
1.4%
42 39
 
1.3%
dirty 38
 
1.3%
of 37
 
1.3%
utensils 36
 
1.2%
surfaces 34
 
1.2%
Other values (431) 2364
81.2%
2025-04-14T23:20:13.742159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2557
13.7%
e 1484
 
7.9%
o 1366
 
7.3%
i 1213
 
6.5%
n 1151
 
6.2%
t 1117
 
6.0%
s 1009
 
5.4%
a 987
 
5.3%
r 842
 
4.5%
d 683
 
3.7%
Other values (64) 6271
33.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18680
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2557
13.7%
e 1484
 
7.9%
o 1366
 
7.3%
i 1213
 
6.5%
n 1151
 
6.2%
t 1117
 
6.0%
s 1009
 
5.4%
a 987
 
5.3%
r 842
 
4.5%
d 683
 
3.7%
Other values (64) 6271
33.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18680
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2557
13.7%
e 1484
 
7.9%
o 1366
 
7.3%
i 1213
 
6.5%
n 1151
 
6.2%
t 1117
 
6.0%
s 1009
 
5.4%
a 987
 
5.3%
r 842
 
4.5%
d 683
 
3.7%
Other values (64) 6271
33.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18680
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2557
13.7%
e 1484
 
7.9%
o 1366
 
7.3%
i 1213
 
6.5%
n 1151
 
6.2%
t 1117
 
6.0%
s 1009
 
5.4%
a 987
 
5.3%
r 842
 
4.5%
d 683
 
3.7%
Other values (64) 6271
33.6%

Violation Points - 8
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.7%
Missing1162
Missing (%)74.2%
Memory size96.4 KiB
1.0
256 
2.0
102 
3.0
46 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1212
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 256
 
16.3%
2.0 102
 
6.5%
3.0 46
 
2.9%
(Missing) 1162
74.2%

Length

2025-04-14T23:20:13.844852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:14.374047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 256
63.4%
2.0 102
 
25.2%
3.0 46
 
11.4%

Most occurring characters

ValueCountFrequency (%)
. 404
33.3%
0 404
33.3%
1 256
21.1%
2 102
 
8.4%
3 46
 
3.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1212
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 404
33.3%
0 404
33.3%
1 256
21.1%
2 102
 
8.4%
3 46
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1212
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 404
33.3%
0 404
33.3%
1 256
21.1%
2 102
 
8.4%
3 46
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1212
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 404
33.3%
0 404
33.3%
1 256
21.1%
2 102
 
8.4%
3 46
 
3.8%

Violation Detail - 8
Text

Missing 

Distinct128
Distinct (%)32.2%
Missing1168
Missing (%)74.6%
Memory size212.1 KiB
2025-04-14T23:20:14.669681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length489
Mean length338.65578
Min length125

Characters and Unicode

Total characters134785
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)15.3%

Sample

1st row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (5) containers of chemical sanitizing solutions specified in paragraph (2)(A) of this subsection in which wet wiping cloths are held between uses shall be stored off the floor and used in a manner that prevents contamination of food, equipment, utensils, linens, single-service, or single-use articles. .
2nd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
3rd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
4th row228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.
5th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (6) in a container of water if the water is maintained at a temperature of at least 57 degrees Celsius (135 degrees Fahrenheit) and the container is cleaned at a frequency specified in õ228.114(a)(4)(G) of this title.
ValueCountFrequency (%)
and 1052
 
5.8%
food 774
 
4.2%
of 633
 
3.5%
the 523
 
2.9%
a 461
 
2.5%
shall 423
 
2.3%
be 420
 
2.3%
equipment 398
 
2.2%
in 383
 
2.1%
or 289
 
1.6%
Other values (1074) 12936
70.7%
2025-04-14T23:20:15.336599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27907
20.7%
e 10918
 
8.1%
i 8144
 
6.0%
n 7933
 
5.9%
a 7780
 
5.8%
t 7506
 
5.6%
s 7424
 
5.5%
o 7317
 
5.4%
r 5143
 
3.8%
d 4480
 
3.3%
Other values (61) 40233
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 134785
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
27907
20.7%
e 10918
 
8.1%
i 8144
 
6.0%
n 7933
 
5.9%
a 7780
 
5.8%
t 7506
 
5.6%
s 7424
 
5.5%
o 7317
 
5.4%
r 5143
 
3.8%
d 4480
 
3.3%
Other values (61) 40233
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 134785
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
27907
20.7%
e 10918
 
8.1%
i 8144
 
6.0%
n 7933
 
5.9%
a 7780
 
5.8%
t 7506
 
5.6%
s 7424
 
5.5%
o 7317
 
5.4%
r 5143
 
3.8%
d 4480
 
3.3%
Other values (61) 40233
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 134785
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
27907
20.7%
e 10918
 
8.1%
i 8144
 
6.0%
n 7933
 
5.9%
a 7780
 
5.8%
t 7506
 
5.6%
s 7424
 
5.5%
o 7317
 
5.4%
r 5143
 
3.8%
d 4480
 
3.3%
Other values (61) 40233
29.8%

Violation Memo - 8
Text

Missing 

Distinct362
Distinct (%)97.3%
Missing1194
Missing (%)76.2%
Memory size74.0 KiB
2025-04-14T23:20:15.877956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length233
Median length85
Mean length43.758065
Min length4

Characters and Unicode

Total characters16278
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique352 ?
Unique (%)94.6%

Sample

1st rowsanitizer bucket sit on floor
2nd rowMaintain floor clean throughout operations, WIF floor
3rd rowobserved raw shelled eggs stored above vegetables and cooked food in wic
4th rowBeef
5th rowensure in-use wet utensils are in running water, in hot water 135f or cold 41f
ValueCountFrequency (%)
in 90
 
3.2%
food 85
 
3.1%
clean 52
 
1.9%
on 47
 
1.7%
to 44
 
1.6%
observed 43
 
1.5%
provide 43
 
1.5%
all 41
 
1.5%
and 41
 
1.5%
not 38
 
1.4%
Other values (681) 2253
81.1%
2025-04-14T23:20:16.666303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2417
14.8%
e 1557
 
9.6%
o 1134
 
7.0%
n 956
 
5.9%
a 893
 
5.5%
i 858
 
5.3%
s 825
 
5.1%
t 815
 
5.0%
r 809
 
5.0%
l 627
 
3.9%
Other values (67) 5387
33.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16278
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2417
14.8%
e 1557
 
9.6%
o 1134
 
7.0%
n 956
 
5.9%
a 893
 
5.5%
i 858
 
5.3%
s 825
 
5.1%
t 815
 
5.0%
r 809
 
5.0%
l 627
 
3.9%
Other values (67) 5387
33.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16278
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2417
14.8%
e 1557
 
9.6%
o 1134
 
7.0%
n 956
 
5.9%
a 893
 
5.5%
i 858
 
5.3%
s 825
 
5.1%
t 815
 
5.0%
r 809
 
5.0%
l 627
 
3.9%
Other values (67) 5387
33.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16278
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2417
14.8%
e 1557
 
9.6%
o 1134
 
7.0%
n 956
 
5.9%
a 893
 
5.5%
i 858
 
5.3%
s 825
 
5.1%
t 815
 
5.0%
r 809
 
5.0%
l 627
 
3.9%
Other values (67) 5387
33.1%
Distinct103
Distinct (%)31.8%
Missing1242
Missing (%)79.3%
Memory size71.7 KiB
2025-04-14T23:20:17.047853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length66
Mean length45.944444
Min length13

Characters and Unicode

Total characters14886
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)12.7%

Sample

1st row*14 When to wash hands between raw and RTE foods
2nd row*45 Premises shall be maintained in good repair
3rd row*47 Handwashing signage
4th row*39 Store equipment & utensils in a clean, dry place
5th row*40 Reuse of single service articles
ValueCountFrequency (%)
food 102
 
4.4%
61
 
2.6%
in 48
 
2.1%
equipment 37
 
1.6%
or 34
 
1.5%
42 33
 
1.4%
dirty 31
 
1.3%
47 31
 
1.3%
the 30
 
1.3%
of 29
 
1.3%
Other values (382) 1866
81.1%
2025-04-14T23:20:17.590887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2009
 
13.5%
e 1155
 
7.8%
o 1086
 
7.3%
i 976
 
6.6%
n 950
 
6.4%
t 887
 
6.0%
a 776
 
5.2%
s 763
 
5.1%
r 721
 
4.8%
d 496
 
3.3%
Other values (65) 5067
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 14886
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2009
 
13.5%
e 1155
 
7.8%
o 1086
 
7.3%
i 976
 
6.6%
n 950
 
6.4%
t 887
 
6.0%
a 776
 
5.2%
s 763
 
5.1%
r 721
 
4.8%
d 496
 
3.3%
Other values (65) 5067
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 14886
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2009
 
13.5%
e 1155
 
7.8%
o 1086
 
7.3%
i 976
 
6.6%
n 950
 
6.4%
t 887
 
6.0%
a 776
 
5.2%
s 763
 
5.1%
r 721
 
4.8%
d 496
 
3.3%
Other values (65) 5067
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 14886
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2009
 
13.5%
e 1155
 
7.8%
o 1086
 
7.3%
i 976
 
6.6%
n 950
 
6.4%
t 887
 
6.0%
a 776
 
5.2%
s 763
 
5.1%
r 721
 
4.8%
d 496
 
3.3%
Other values (65) 5067
34.0%

Violation Points - 9
Categorical

High correlation  Missing 

Distinct3
Distinct (%)0.9%
Missing1242
Missing (%)79.3%
Memory size96.7 KiB
1.0
202 
2.0
76 
3.0
46 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters972
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 202
 
12.9%
2.0 76
 
4.9%
3.0 46
 
2.9%
(Missing) 1242
79.3%

Length

2025-04-14T23:20:17.701989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:17.770554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 202
62.3%
2.0 76
 
23.5%
3.0 46
 
14.2%

Most occurring characters

ValueCountFrequency (%)
. 324
33.3%
0 324
33.3%
1 202
20.8%
2 76
 
7.8%
3 46
 
4.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 972
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 324
33.3%
0 324
33.3%
1 202
20.8%
2 76
 
7.8%
3 46
 
4.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 972
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 324
33.3%
0 324
33.3%
1 202
20.8%
2 76
 
7.8%
3 46
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 972
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 324
33.3%
0 324
33.3%
1 202
20.8%
2 76
 
7.8%
3 46
 
4.7%

Violation Detail - 9
Text

Missing 

Distinct104
Distinct (%)33.0%
Missing1251
Missing (%)79.9%
Memory size185.8 KiB
2025-04-14T23:20:18.042280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length466
Mean length356.38095
Min length125

Characters and Unicode

Total characters112260
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)14.0%

Sample

1st row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (7) when switching between working with raw food and working with ready-to eat food;
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
3rd row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
4th row228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (A) in a clean, dry location;
5th row228.112 Equipment, Utensils, and Linens. Utensils and Temperature and Pressure Measuring Devices. (c) Single-service and single-use articles use limitation. (1) Single-service and single-use articles may not be reused.
ValueCountFrequency (%)
and 861
 
5.6%
food 592
 
3.8%
of 560
 
3.6%
the 519
 
3.4%
a 470
 
3.0%
shall 369
 
2.4%
in 354
 
2.3%
equipment 316
 
2.0%
be 315
 
2.0%
or 240
 
1.6%
Other values (975) 10821
70.2%
2025-04-14T23:20:18.519333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23130
20.6%
e 9366
 
8.3%
i 6772
 
6.0%
n 6626
 
5.9%
a 6582
 
5.9%
t 6327
 
5.6%
s 6011
 
5.4%
o 5981
 
5.3%
r 4406
 
3.9%
d 3686
 
3.3%
Other values (62) 33373
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 112260
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
23130
20.6%
e 9366
 
8.3%
i 6772
 
6.0%
n 6626
 
5.9%
a 6582
 
5.9%
t 6327
 
5.6%
s 6011
 
5.4%
o 5981
 
5.3%
r 4406
 
3.9%
d 3686
 
3.3%
Other values (62) 33373
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 112260
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
23130
20.6%
e 9366
 
8.3%
i 6772
 
6.0%
n 6626
 
5.9%
a 6582
 
5.9%
t 6327
 
5.6%
s 6011
 
5.4%
o 5981
 
5.3%
r 4406
 
3.9%
d 3686
 
3.3%
Other values (62) 33373
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 112260
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
23130
20.6%
e 9366
 
8.3%
i 6772
 
6.0%
n 6626
 
5.9%
a 6582
 
5.9%
t 6327
 
5.6%
s 6011
 
5.4%
o 5981
 
5.3%
r 4406
 
3.9%
d 3686
 
3.3%
Other values (62) 33373
29.7%

Violation Memo - 9
Text

Missing 

Distinct296
Distinct (%)97.7%
Missing1263
Missing (%)80.7%
Memory size69.8 KiB
2025-04-14T23:20:18.868129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length160
Median length79
Mean length45.029703
Min length11

Characters and Unicode

Total characters13644
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)96.0%

Sample

1st rowdid not wash hands after touching raw chicken
2nd rowRepair floor and wall tiles, and ceiling tiles
3rd rowprovide hand washing sign
4th rowstore ice scopp in clean, dry location
5th rowdo not use reuse single use cups for things on prep line
ValueCountFrequency (%)
food 69
 
3.0%
on 63
 
2.7%
clean 56
 
2.4%
in 56
 
2.4%
and 38
 
1.6%
to 36
 
1.6%
provide 32
 
1.4%
observed 32
 
1.4%
not 28
 
1.2%
be 26
 
1.1%
Other values (640) 1883
81.2%
2025-04-14T23:20:19.391153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2035
14.9%
e 1267
 
9.3%
o 986
 
7.2%
n 790
 
5.8%
r 750
 
5.5%
i 742
 
5.4%
a 736
 
5.4%
s 734
 
5.4%
t 701
 
5.1%
d 506
 
3.7%
Other values (67) 4397
32.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13644
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2035
14.9%
e 1267
 
9.3%
o 986
 
7.2%
n 790
 
5.8%
r 750
 
5.5%
i 742
 
5.4%
a 736
 
5.4%
s 734
 
5.4%
t 701
 
5.1%
d 506
 
3.7%
Other values (67) 4397
32.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13644
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2035
14.9%
e 1267
 
9.3%
o 986
 
7.2%
n 790
 
5.8%
r 750
 
5.5%
i 742
 
5.4%
a 736
 
5.4%
s 734
 
5.4%
t 701
 
5.1%
d 506
 
3.7%
Other values (67) 4397
32.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13644
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2035
14.9%
e 1267
 
9.3%
o 986
 
7.2%
n 790
 
5.8%
r 750
 
5.5%
i 742
 
5.4%
a 736
 
5.4%
s 734
 
5.4%
t 701
 
5.1%
d 506
 
3.7%
Other values (67) 4397
32.2%
Distinct94
Distinct (%)38.4%
Missing1321
Missing (%)84.4%
Memory size66.3 KiB
2025-04-14T23:20:19.654762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length76
Mean length46.57551
Min length20

Characters and Unicode

Total characters11411
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)22.4%

Sample

1st row*37 Storing the food at least 15 cm (6 inches) above the floor
2nd row*29 Sanitizing solutions, testing devices
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*46 Covered waste receptacle for women's restroom
5th row*32 Nonfood surfaces-design to be cleaned easily
ValueCountFrequency (%)
food 87
 
4.8%
44
 
2.4%
in 34
 
1.9%
the 27
 
1.5%
for 26
 
1.4%
equipment 25
 
1.4%
or 25
 
1.4%
47 24
 
1.3%
of 21
 
1.2%
45 21
 
1.2%
Other values (351) 1474
81.5%
2025-04-14T23:20:20.067843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1595
14.0%
e 985
 
8.6%
o 839
 
7.4%
i 703
 
6.2%
n 698
 
6.1%
t 679
 
6.0%
s 609
 
5.3%
a 564
 
4.9%
r 562
 
4.9%
d 410
 
3.6%
Other values (62) 3767
33.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11411
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1595
14.0%
e 985
 
8.6%
o 839
 
7.4%
i 703
 
6.2%
n 698
 
6.1%
t 679
 
6.0%
s 609
 
5.3%
a 564
 
4.9%
r 562
 
4.9%
d 410
 
3.6%
Other values (62) 3767
33.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11411
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1595
14.0%
e 985
 
8.6%
o 839
 
7.4%
i 703
 
6.2%
n 698
 
6.1%
t 679
 
6.0%
s 609
 
5.3%
a 564
 
4.9%
r 562
 
4.9%
d 410
 
3.6%
Other values (62) 3767
33.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11411
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1595
14.0%
e 985
 
8.6%
o 839
 
7.4%
i 703
 
6.2%
n 698
 
6.1%
t 679
 
6.0%
s 609
 
5.3%
a 564
 
4.9%
r 562
 
4.9%
d 410
 
3.6%
Other values (62) 3767
33.0%

Violation Points - 10
Categorical

High correlation  Missing 

Distinct3
Distinct (%)1.2%
Missing1321
Missing (%)84.4%
Memory size97.0 KiB
1.0
164 
2.0
42 
3.0
39 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters735
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 164
 
10.5%
2.0 42
 
2.7%
3.0 39
 
2.5%
(Missing) 1321
84.4%

Length

2025-04-14T23:20:20.184097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:20.251726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 164
66.9%
2.0 42
 
17.1%
3.0 39
 
15.9%

Most occurring characters

ValueCountFrequency (%)
. 245
33.3%
0 245
33.3%
1 164
22.3%
2 42
 
5.7%
3 39
 
5.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 735
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 245
33.3%
0 245
33.3%
1 164
22.3%
2 42
 
5.7%
3 39
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 735
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 245
33.3%
0 245
33.3%
1 164
22.3%
2 42
 
5.7%
3 39
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 735
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 245
33.3%
0 245
33.3%
1 164
22.3%
2 42
 
5.7%
3 39
 
5.3%

Violation Detail - 10
Text

Missing 

Distinct93
Distinct (%)39.1%
Missing1328
Missing (%)84.8%
Memory size148.4 KiB
2025-04-14T23:20:20.548432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length853
Median length467.5
Mean length340.68067
Min length164

Characters and Unicode

Total characters81082
Distinct characters70
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)23.5%

Sample

1st row228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.
2nd row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (h) Toilet room receptacle, covered. A toilet room used by females shall be provided with a covered receptacle for sanitary napkins.
5th row228.104 Equipment, Utensils, and Linens. Cleanability. (g) Nonfood-contact surfaces. Nonfood-contact surfaces shall be free of unnecessary ledges, projections, and crevices, and designed and constructed to allow easy cleaning and to facilitate maintenance.
ValueCountFrequency (%)
and 620
 
5.6%
food 472
 
4.3%
of 363
 
3.3%
the 352
 
3.2%
a 341
 
3.1%
shall 271
 
2.4%
equipment 245
 
2.2%
in 244
 
2.2%
be 236
 
2.1%
utensils 165
 
1.5%
Other values (889) 7785
70.2%
2025-04-14T23:20:21.029369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16772
20.7%
e 6828
 
8.4%
i 4825
 
6.0%
n 4774
 
5.9%
a 4654
 
5.7%
t 4595
 
5.7%
s 4440
 
5.5%
o 4364
 
5.4%
r 3170
 
3.9%
d 2650
 
3.3%
Other values (60) 24010
29.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 81082
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
16772
20.7%
e 6828
 
8.4%
i 4825
 
6.0%
n 4774
 
5.9%
a 4654
 
5.7%
t 4595
 
5.7%
s 4440
 
5.5%
o 4364
 
5.4%
r 3170
 
3.9%
d 2650
 
3.3%
Other values (60) 24010
29.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 81082
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
16772
20.7%
e 6828
 
8.4%
i 4825
 
6.0%
n 4774
 
5.9%
a 4654
 
5.7%
t 4595
 
5.7%
s 4440
 
5.5%
o 4364
 
5.4%
r 3170
 
3.9%
d 2650
 
3.3%
Other values (60) 24010
29.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 81082
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
16772
20.7%
e 6828
 
8.4%
i 4825
 
6.0%
n 4774
 
5.9%
a 4654
 
5.7%
t 4595
 
5.7%
s 4440
 
5.5%
o 4364
 
5.4%
r 3170
 
3.9%
d 2650
 
3.3%
Other values (60) 24010
29.6%

Violation Memo - 10
Text

Missing 

Distinct219
Distinct (%)95.6%
Missing1337
Missing (%)85.4%
Memory size64.5 KiB
2025-04-14T23:20:21.400929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length164
Median length80
Mean length43.829694
Min length8

Characters and Unicode

Total characters10037
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)92.1%

Sample

1st rowfood needs to be 6 inches above ground
2nd rowprovide test strips (cos)
3rd rowclean dirty floors
4th rowprovide covered and lined waste receptacle for restrooms
5th rowaluminium used to line shelving, this is not a cleanable surface
ValueCountFrequency (%)
food 63
 
3.7%
in 58
 
3.4%
on 39
 
2.3%
clean 36
 
2.1%
not 32
 
1.9%
store 25
 
1.5%
provide 25
 
1.5%
to 24
 
1.4%
the 23
 
1.3%
observed 23
 
1.3%
Other values (563) 1374
79.8%
2025-04-14T23:20:21.915986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1500
14.9%
e 941
 
9.4%
o 781
 
7.8%
n 632
 
6.3%
t 533
 
5.3%
r 527
 
5.3%
a 525
 
5.2%
i 518
 
5.2%
s 515
 
5.1%
d 381
 
3.8%
Other values (62) 3184
31.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10037
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1500
14.9%
e 941
 
9.4%
o 781
 
7.8%
n 632
 
6.3%
t 533
 
5.3%
r 527
 
5.3%
a 525
 
5.2%
i 518
 
5.2%
s 515
 
5.1%
d 381
 
3.8%
Other values (62) 3184
31.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10037
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1500
14.9%
e 941
 
9.4%
o 781
 
7.8%
n 632
 
6.3%
t 533
 
5.3%
r 527
 
5.3%
a 525
 
5.2%
i 518
 
5.2%
s 515
 
5.1%
d 381
 
3.8%
Other values (62) 3184
31.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10037
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1500
14.9%
e 941
 
9.4%
o 781
 
7.8%
n 632
 
6.3%
t 533
 
5.3%
r 527
 
5.3%
a 525
 
5.2%
i 518
 
5.2%
s 515
 
5.1%
d 381
 
3.8%
Other values (62) 3184
31.7%
Distinct82
Distinct (%)43.6%
Missing1378
Missing (%)88.0%
Memory size62.3 KiB
2025-04-14T23:20:22.151695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length62
Mean length45.920213
Min length16

Characters and Unicode

Total characters8633
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)21.3%

Sample

1st row*21 RFSM - Not On Site
2nd row*45 Premises shall be maintained in good repair
3rd row*20 Grease Trap Tickets
4th row*41 Food Labeling - Bulk Food w/ Card or Sign
5th row*37 Food preparation
ValueCountFrequency (%)
food 57
 
4.2%
38
 
2.8%
in 27
 
2.0%
equipment 23
 
1.7%
and 21
 
1.6%
of 21
 
1.6%
or 19
 
1.4%
42 19
 
1.4%
dirty 19
 
1.4%
39 18
 
1.3%
Other values (328) 1083
80.5%
2025-04-14T23:20:22.534984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1179
13.7%
e 730
 
8.5%
o 640
 
7.4%
i 543
 
6.3%
t 510
 
5.9%
n 509
 
5.9%
s 464
 
5.4%
a 417
 
4.8%
r 394
 
4.6%
d 313
 
3.6%
Other values (61) 2934
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8633
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1179
13.7%
e 730
 
8.5%
o 640
 
7.4%
i 543
 
6.3%
t 510
 
5.9%
n 509
 
5.9%
s 464
 
5.4%
a 417
 
4.8%
r 394
 
4.6%
d 313
 
3.6%
Other values (61) 2934
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8633
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1179
13.7%
e 730
 
8.5%
o 640
 
7.4%
i 543
 
6.3%
t 510
 
5.9%
n 509
 
5.9%
s 464
 
5.4%
a 417
 
4.8%
r 394
 
4.6%
d 313
 
3.6%
Other values (61) 2934
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8633
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1179
13.7%
e 730
 
8.5%
o 640
 
7.4%
i 543
 
6.3%
t 510
 
5.9%
n 509
 
5.9%
s 464
 
5.4%
a 417
 
4.8%
r 394
 
4.6%
d 313
 
3.6%
Other values (61) 2934
34.0%

Violation Points - 11
Categorical

High correlation  Missing 

Distinct3
Distinct (%)1.6%
Missing1378
Missing (%)88.0%
Memory size97.3 KiB
1.0
117 
2.0
39 
3.0
32 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters564
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 117
 
7.5%
2.0 39
 
2.5%
3.0 32
 
2.0%
(Missing) 1378
88.0%

Length

2025-04-14T23:20:22.648463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:22.719774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 117
62.2%
2.0 39
 
20.7%
3.0 32
 
17.0%

Most occurring characters

ValueCountFrequency (%)
. 188
33.3%
0 188
33.3%
1 117
20.7%
2 39
 
6.9%
3 32
 
5.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 564
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 188
33.3%
0 188
33.3%
1 117
20.7%
2 39
 
6.9%
3 32
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 564
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 188
33.3%
0 188
33.3%
1 117
20.7%
2 39
 
6.9%
3 32
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 564
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 188
33.3%
0 188
33.3%
1 117
20.7%
2 39
 
6.9%
3 32
 
5.7%

Violation Detail - 11
Text

Missing 

Distinct81
Distinct (%)43.8%
Missing1381
Missing (%)88.2%
Memory size124.1 KiB
2025-04-14T23:20:23.031228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length815
Median length438
Mean length334.12432
Min length149

Characters and Unicode

Total characters61813
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)21.6%

Sample

1st rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
2nd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
3rd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
4th row228.79 Food. Labeling. (a) Food labels. (3) Bulk food that is available for consumer self-dispensing shall be prominently labeled with the following information in plain view of the consumer: (B) a card, sign, or other method of notification that includes the information specified in paragraph (2)(A), (B), and (F) of this subsection.
5th row228.69 Food. Preventing contamination from the premises. (d) Food preparation. During preparation, unpackaged food shall be protected from environmental sources of contamination.
ValueCountFrequency (%)
and 526
 
6.3%
of 301
 
3.6%
food 280
 
3.4%
the 260
 
3.1%
a 231
 
2.8%
equipment 214
 
2.6%
shall 202
 
2.4%
in 184
 
2.2%
be 179
 
2.1%
utensils 162
 
1.9%
Other values (817) 5805
69.6%
2025-04-14T23:20:23.545339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12836
20.8%
e 5174
 
8.4%
n 3679
 
6.0%
i 3654
 
5.9%
t 3570
 
5.8%
a 3553
 
5.7%
s 3403
 
5.5%
o 3231
 
5.2%
r 2393
 
3.9%
d 1955
 
3.2%
Other values (59) 18365
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 61813
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
12836
20.8%
e 5174
 
8.4%
n 3679
 
6.0%
i 3654
 
5.9%
t 3570
 
5.8%
a 3553
 
5.7%
s 3403
 
5.5%
o 3231
 
5.2%
r 2393
 
3.9%
d 1955
 
3.2%
Other values (59) 18365
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 61813
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
12836
20.8%
e 5174
 
8.4%
n 3679
 
6.0%
i 3654
 
5.9%
t 3570
 
5.8%
a 3553
 
5.7%
s 3403
 
5.5%
o 3231
 
5.2%
r 2393
 
3.9%
d 1955
 
3.2%
Other values (59) 18365
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 61813
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
12836
20.8%
e 5174
 
8.4%
n 3679
 
6.0%
i 3654
 
5.9%
t 3570
 
5.8%
a 3553
 
5.7%
s 3403
 
5.5%
o 3231
 
5.2%
r 2393
 
3.9%
d 1955
 
3.2%
Other values (59) 18365
29.7%

Violation Memo - 11
Text

Missing 

Distinct171
Distinct (%)97.2%
Missing1390
Missing (%)88.8%
Memory size60.5 KiB
2025-04-14T23:20:23.854792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length124
Median length62.5
Mean length41.414773
Min length4

Characters and Unicode

Total characters7289
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)95.5%

Sample

1st rowfood manager not on site
2nd rowRepair leak on 3-comp faucet, repair wall/baseboards, connect WIC drain to floor drain
3rd rowgrease trap missing
4th rowfood storage containers must be labeled
5th rowHot dogs sitting in non-approved plastic basket
ValueCountFrequency (%)
in 38
 
3.1%
food 37
 
3.1%
clean 34
 
2.8%
provide 30
 
2.5%
on 24
 
2.0%
of 21
 
1.7%
store 20
 
1.6%
and 18
 
1.5%
to 16
 
1.3%
observed 15
 
1.2%
Other values (446) 960
79.1%
2025-04-14T23:20:24.326260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1039
14.3%
e 694
 
9.5%
o 532
 
7.3%
n 410
 
5.6%
r 406
 
5.6%
a 398
 
5.5%
i 384
 
5.3%
t 379
 
5.2%
s 375
 
5.1%
d 265
 
3.6%
Other values (66) 2407
33.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7289
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1039
14.3%
e 694
 
9.5%
o 532
 
7.3%
n 410
 
5.6%
r 406
 
5.6%
a 398
 
5.5%
i 384
 
5.3%
t 379
 
5.2%
s 375
 
5.1%
d 265
 
3.6%
Other values (66) 2407
33.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7289
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1039
14.3%
e 694
 
9.5%
o 532
 
7.3%
n 410
 
5.6%
r 406
 
5.6%
a 398
 
5.5%
i 384
 
5.3%
t 379
 
5.2%
s 375
 
5.1%
d 265
 
3.6%
Other values (66) 2407
33.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7289
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1039
14.3%
e 694
 
9.5%
o 532
 
7.3%
n 410
 
5.6%
r 406
 
5.6%
a 398
 
5.5%
i 384
 
5.3%
t 379
 
5.2%
s 375
 
5.1%
d 265
 
3.6%
Other values (66) 2407
33.0%
Distinct61
Distinct (%)47.7%
Missing1438
Missing (%)91.8%
Memory size57.7 KiB
2025-04-14T23:20:24.530979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length63.5
Mean length44.1875
Min length13

Characters and Unicode

Total characters5656
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)27.3%

Sample

1st row*47 Health permit posted
2nd row*47 Other Violations
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*39 Store all equipment & utensil covered or inverted
5th row*45Floor, wall, ceiling - Exposed material
ValueCountFrequency (%)
food 30
 
3.5%
42 23
 
2.7%
surfaces 21
 
2.5%
dirty 21
 
2.5%
contact 18
 
2.1%
18
 
2.1%
in 17
 
2.0%
nonfood 17
 
2.0%
47 14
 
1.6%
good 14
 
1.6%
Other values (240) 660
77.4%
2025-04-14T23:20:24.874325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
740
 
13.1%
e 455
 
8.0%
o 423
 
7.5%
i 372
 
6.6%
n 356
 
6.3%
t 344
 
6.1%
s 297
 
5.3%
a 292
 
5.2%
r 286
 
5.1%
d 194
 
3.4%
Other values (56) 1897
33.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5656
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
740
 
13.1%
e 455
 
8.0%
o 423
 
7.5%
i 372
 
6.6%
n 356
 
6.3%
t 344
 
6.1%
s 297
 
5.3%
a 292
 
5.2%
r 286
 
5.1%
d 194
 
3.4%
Other values (56) 1897
33.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5656
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
740
 
13.1%
e 455
 
8.0%
o 423
 
7.5%
i 372
 
6.6%
n 356
 
6.3%
t 344
 
6.1%
s 297
 
5.3%
a 292
 
5.2%
r 286
 
5.1%
d 194
 
3.4%
Other values (56) 1897
33.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5656
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
740
 
13.1%
e 455
 
8.0%
o 423
 
7.5%
i 372
 
6.6%
n 356
 
6.3%
t 344
 
6.1%
s 297
 
5.3%
a 292
 
5.2%
r 286
 
5.1%
d 194
 
3.4%
Other values (56) 1897
33.5%

Violation Points - 12
Categorical

High correlation  Missing 

Distinct3
Distinct (%)2.3%
Missing1438
Missing (%)91.8%
Memory size97.5 KiB
1.0
98 
2.0
17 
3.0
13 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters384
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 98
 
6.3%
2.0 17
 
1.1%
3.0 13
 
0.8%
(Missing) 1438
91.8%

Length

2025-04-14T23:20:24.979327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:25.045369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 98
76.6%
2.0 17
 
13.3%
3.0 13
 
10.2%

Most occurring characters

ValueCountFrequency (%)
. 128
33.3%
0 128
33.3%
1 98
25.5%
2 17
 
4.4%
3 13
 
3.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 384
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 128
33.3%
0 128
33.3%
1 98
25.5%
2 17
 
4.4%
3 13
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 384
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 128
33.3%
0 128
33.3%
1 98
25.5%
2 17
 
4.4%
3 13
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 384
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 128
33.3%
0 128
33.3%
1 98
25.5%
2 17
 
4.4%
3 13
 
3.4%

Violation Detail - 12
Text

Missing 

Distinct60
Distinct (%)48.4%
Missing1442
Missing (%)92.1%
Memory size95.9 KiB
2025-04-14T23:20:25.332365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length815
Median length405
Mean length318.57258
Min length125

Characters and Unicode

Total characters39503
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)28.2%

Sample

1st rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (11) Display. A food establishment that operates from a fixed facility shall display its permit in a frame with a glass cover at a prominent place inside the facility where it can be easily seen by the public.
2nd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
3rd row228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.
4th row(c) Floors, walls, and ceilings. (1) A food establishment containing a food handling area, food processing area, food preparation area, food storage area, equipment or utensil washing area, walk-in refrigerating unit, dressing room, locker room, toilet room, or vestibule shall: (C) prevent exposed construction in these areas, including but not limited to the exposure of pipes, conduits, ductwork, studs, joists, and rafters;
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
ValueCountFrequency (%)
and 302
 
5.6%
of 224
 
4.2%
food 204
 
3.8%
the 168
 
3.1%
a 149
 
2.8%
shall 136
 
2.5%
equipment 134
 
2.5%
be 124
 
2.3%
in 107
 
2.0%
utensils 87
 
1.6%
Other values (674) 3734
69.5%
2025-04-14T23:20:25.823496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8098
20.5%
e 3313
 
8.4%
i 2328
 
5.9%
n 2315
 
5.9%
t 2263
 
5.7%
a 2257
 
5.7%
s 2162
 
5.5%
o 2158
 
5.5%
r 1538
 
3.9%
d 1272
 
3.2%
Other values (59) 11799
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 39503
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8098
20.5%
e 3313
 
8.4%
i 2328
 
5.9%
n 2315
 
5.9%
t 2263
 
5.7%
a 2257
 
5.7%
s 2162
 
5.5%
o 2158
 
5.5%
r 1538
 
3.9%
d 1272
 
3.2%
Other values (59) 11799
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 39503
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8098
20.5%
e 3313
 
8.4%
i 2328
 
5.9%
n 2315
 
5.9%
t 2263
 
5.7%
a 2257
 
5.7%
s 2162
 
5.5%
o 2158
 
5.5%
r 1538
 
3.9%
d 1272
 
3.2%
Other values (59) 11799
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 39503
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8098
20.5%
e 3313
 
8.4%
i 2328
 
5.9%
n 2315
 
5.9%
t 2263
 
5.7%
a 2257
 
5.7%
s 2162
 
5.5%
o 2158
 
5.5%
r 1538
 
3.9%
d 1272
 
3.2%
Other values (59) 11799
29.9%

Violation Memo - 12
Text

Missing 

Distinct112
Distinct (%)98.2%
Missing1452
Missing (%)92.7%
Memory size56.6 KiB
2025-04-14T23:20:26.154660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length193
Median length62
Mean length42.605263
Min length10

Characters and Unicode

Total characters4857
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)96.5%

Sample

1st rowclean establishment properly
2nd rowUtensils stored improperly , knifes stored in coffee cup
3rd rowtiles and flooring and coving area near three compartment sink are missing or damaged
4th rowReplace water damaged ceiling tiles
5th rowLabel all bulk and unoriginal containers
ValueCountFrequency (%)
clean 26
 
3.2%
on 26
 
3.2%
in 25
 
3.1%
food 23
 
2.8%
and 15
 
1.9%
provide 12
 
1.5%
observed 12
 
1.5%
repair 11
 
1.4%
not 10
 
1.2%
store 10
 
1.2%
Other values (327) 640
79.0%
2025-04-14T23:20:26.693390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
703
14.5%
e 446
 
9.2%
o 322
 
6.6%
n 284
 
5.8%
r 276
 
5.7%
a 270
 
5.6%
s 249
 
5.1%
i 247
 
5.1%
t 230
 
4.7%
l 178
 
3.7%
Other values (56) 1652
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4857
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
703
14.5%
e 446
 
9.2%
o 322
 
6.6%
n 284
 
5.8%
r 276
 
5.7%
a 270
 
5.6%
s 249
 
5.1%
i 247
 
5.1%
t 230
 
4.7%
l 178
 
3.7%
Other values (56) 1652
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4857
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
703
14.5%
e 446
 
9.2%
o 322
 
6.6%
n 284
 
5.8%
r 276
 
5.7%
a 270
 
5.6%
s 249
 
5.1%
i 247
 
5.1%
t 230
 
4.7%
l 178
 
3.7%
Other values (56) 1652
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4857
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
703
14.5%
e 446
 
9.2%
o 322
 
6.6%
n 284
 
5.8%
r 276
 
5.7%
a 270
 
5.6%
s 249
 
5.1%
i 247
 
5.1%
t 230
 
4.7%
l 178
 
3.7%
Other values (56) 1652
34.0%
Distinct48
Distinct (%)55.2%
Missing1479
Missing (%)94.4%
Memory size55.3 KiB
2025-04-14T23:20:26.918785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length66
Mean length46.977011
Min length20

Characters and Unicode

Total characters4087
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)34.5%

Sample

1st row*45Floors easily cleanable
2nd row*44 Trash cans and designated storage areas
3rd row*34 Outer door: solid,selfclosing,tightfitting
4th row*42 Dirty nonfood contact surfaces
5th row*45 Drying Mops-air dry
ValueCountFrequency (%)
food 26
 
4.2%
in 21
 
3.4%
or 12
 
1.9%
dirty 11
 
1.8%
repair 11
 
1.8%
42 11
 
1.8%
equipment 11
 
1.8%
11
 
1.8%
good 11
 
1.8%
shall 10
 
1.6%
Other values (212) 485
78.2%
2025-04-14T23:20:27.271018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
549
13.4%
e 329
 
8.0%
o 304
 
7.4%
i 267
 
6.5%
n 247
 
6.0%
s 226
 
5.5%
t 223
 
5.5%
a 212
 
5.2%
r 211
 
5.2%
d 159
 
3.9%
Other values (59) 1360
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4087
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
549
13.4%
e 329
 
8.0%
o 304
 
7.4%
i 267
 
6.5%
n 247
 
6.0%
s 226
 
5.5%
t 223
 
5.5%
a 212
 
5.2%
r 211
 
5.2%
d 159
 
3.9%
Other values (59) 1360
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4087
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
549
13.4%
e 329
 
8.0%
o 304
 
7.4%
i 267
 
6.5%
n 247
 
6.0%
s 226
 
5.5%
t 223
 
5.5%
a 212
 
5.2%
r 211
 
5.2%
d 159
 
3.9%
Other values (59) 1360
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4087
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
549
13.4%
e 329
 
8.0%
o 304
 
7.4%
i 267
 
6.5%
n 247
 
6.0%
s 226
 
5.5%
t 223
 
5.5%
a 212
 
5.2%
r 211
 
5.2%
d 159
 
3.9%
Other values (59) 1360
33.3%

Violation Points - 13
Categorical

High correlation  Missing 

Distinct3
Distinct (%)3.4%
Missing1479
Missing (%)94.4%
Memory size97.7 KiB
1.0
64 
2.0
13 
3.0
10 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters261
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 64
 
4.1%
2.0 13
 
0.8%
3.0 10
 
0.6%
(Missing) 1479
94.4%

Length

2025-04-14T23:20:27.386007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:27.473701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 64
73.6%
2.0 13
 
14.9%
3.0 10
 
11.5%

Most occurring characters

ValueCountFrequency (%)
. 87
33.3%
0 87
33.3%
1 64
24.5%
2 13
 
5.0%
3 10
 
3.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 261
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 87
33.3%
0 87
33.3%
1 64
24.5%
2 13
 
5.0%
3 10
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 261
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 87
33.3%
0 87
33.3%
1 64
24.5%
2 13
 
5.0%
3 10
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 261
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 87
33.3%
0 87
33.3%
1 64
24.5%
2 13
 
5.0%
3 10
 
3.8%

Violation Detail - 13
Text

Missing 

Distinct47
Distinct (%)54.7%
Missing1480
Missing (%)94.5%
Memory size81.6 KiB
2025-04-14T23:20:27.937939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length592
Median length419
Mean length321.9186
Min length186

Characters and Unicode

Total characters27685
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)33.7%

Sample

1st row228.171 Physical Facilities. Indoor areas, surface characteristics. Except as specified in õ228.222(j) and (k)(1) of this title, materials for indoor floor, wall, and ceiling surfaces under conditions of normal use shall be: (2) closely woven and easily cleanable carpet for carpeted areas; and
2nd row228.185 Physical Facilities. Receptacles, waste handling units, and designated storage areas. Units, receptacles, and areas designated for storage of refuse and recyclable and returnable containers shall be located as specified in õ228.152(j) of this title.
3rd row228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (C) solid self-closing, tight-fitting doors.
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
ValueCountFrequency (%)
and 226
 
6.1%
of 136
 
3.7%
food 119
 
3.2%
a 108
 
2.9%
the 94
 
2.5%
shall 94
 
2.5%
equipment 85
 
2.3%
in 79
 
2.1%
be 75
 
2.0%
or 54
 
1.5%
Other values (620) 2625
71.0%
2025-04-14T23:20:28.662976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5734
20.7%
e 2300
 
8.3%
i 1732
 
6.3%
a 1622
 
5.9%
s 1589
 
5.7%
n 1585
 
5.7%
t 1480
 
5.3%
o 1396
 
5.0%
r 1086
 
3.9%
l 912
 
3.3%
Other values (59) 8249
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 27685
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5734
20.7%
e 2300
 
8.3%
i 1732
 
6.3%
a 1622
 
5.9%
s 1589
 
5.7%
n 1585
 
5.7%
t 1480
 
5.3%
o 1396
 
5.0%
r 1086
 
3.9%
l 912
 
3.3%
Other values (59) 8249
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 27685
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5734
20.7%
e 2300
 
8.3%
i 1732
 
6.3%
a 1622
 
5.9%
s 1589
 
5.7%
n 1585
 
5.7%
t 1480
 
5.3%
o 1396
 
5.0%
r 1086
 
3.9%
l 912
 
3.3%
Other values (59) 8249
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 27685
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5734
20.7%
e 2300
 
8.3%
i 1732
 
6.3%
a 1622
 
5.9%
s 1589
 
5.7%
n 1585
 
5.7%
t 1480
 
5.3%
o 1396
 
5.0%
r 1086
 
3.9%
l 912
 
3.3%
Other values (59) 8249
29.8%

Violation Memo - 13
Text

Missing 

Distinct83
Distinct (%)97.6%
Missing1481
Missing (%)94.6%
Memory size54.8 KiB
2025-04-14T23:20:29.105177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length130
Median length56
Mean length44.247059
Min length4

Characters and Unicode

Total characters3761
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)95.3%

Sample

1st rowclean floors in kitchen of grease, food debris, etc
2nd rowUsing cardboard box as a trash bin
3rd rowKeep back door closed
4th rowClean exterior of equipment
5th rowHang mop after use to dry
ValueCountFrequency (%)
clean 22
 
3.5%
in 20
 
3.2%
on 17
 
2.7%
food 16
 
2.5%
repair 13
 
2.1%
and 13
 
2.1%
provide 11
 
1.8%
be 9
 
1.4%
floor 9
 
1.4%
kitchen 9
 
1.4%
Other values (281) 489
77.9%
2025-04-14T23:20:29.815364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
545
14.5%
e 350
 
9.3%
o 248
 
6.6%
a 234
 
6.2%
n 232
 
6.2%
i 202
 
5.4%
s 200
 
5.3%
r 187
 
5.0%
t 185
 
4.9%
l 162
 
4.3%
Other values (57) 1216
32.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3761
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
545
14.5%
e 350
 
9.3%
o 248
 
6.6%
a 234
 
6.2%
n 232
 
6.2%
i 202
 
5.4%
s 200
 
5.3%
r 187
 
5.0%
t 185
 
4.9%
l 162
 
4.3%
Other values (57) 1216
32.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3761
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
545
14.5%
e 350
 
9.3%
o 248
 
6.6%
a 234
 
6.2%
n 232
 
6.2%
i 202
 
5.4%
s 200
 
5.3%
r 187
 
5.0%
t 185
 
4.9%
l 162
 
4.3%
Other values (57) 1216
32.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3761
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
545
14.5%
e 350
 
9.3%
o 248
 
6.6%
a 234
 
6.2%
n 232
 
6.2%
i 202
 
5.4%
s 200
 
5.3%
r 187
 
5.0%
t 185
 
4.9%
l 162
 
4.3%
Other values (57) 1216
32.3%
Distinct38
Distinct (%)66.7%
Missing1509
Missing (%)96.4%
Memory size53.3 KiB
2025-04-14T23:20:30.140697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length65
Mean length50.77193
Min length23

Characters and Unicode

Total characters2894
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)47.4%

Sample

1st row*45Floors easily cleanable
2nd row*42 Floors/walls/ceiling/nonfood dirty
3rd row*45 Premises shall be maintained in good repair
4th row*02 Outfitter-Food Temperatures (Cold).
5th row*38 Thawing. under running water criteria - water velocity
ValueCountFrequency (%)
food 18
 
4.1%
in 13
 
2.9%
good 9
 
2.0%
be 9
 
2.0%
repair 9
 
2.0%
9
 
2.0%
and 8
 
1.8%
shall 8
 
1.8%
45 8
 
1.8%
equipment 7
 
1.6%
Other values (195) 343
77.8%
2025-04-14T23:20:30.546579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
397
13.7%
e 248
 
8.6%
o 216
 
7.5%
n 185
 
6.4%
i 181
 
6.3%
t 176
 
6.1%
a 161
 
5.6%
s 160
 
5.5%
r 154
 
5.3%
d 115
 
4.0%
Other values (53) 901
31.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2894
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
397
13.7%
e 248
 
8.6%
o 216
 
7.5%
n 185
 
6.4%
i 181
 
6.3%
t 176
 
6.1%
a 161
 
5.6%
s 160
 
5.5%
r 154
 
5.3%
d 115
 
4.0%
Other values (53) 901
31.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2894
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
397
13.7%
e 248
 
8.6%
o 216
 
7.5%
n 185
 
6.4%
i 181
 
6.3%
t 176
 
6.1%
a 161
 
5.6%
s 160
 
5.5%
r 154
 
5.3%
d 115
 
4.0%
Other values (53) 901
31.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2894
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
397
13.7%
e 248
 
8.6%
o 216
 
7.5%
n 185
 
6.4%
i 181
 
6.3%
t 176
 
6.1%
a 161
 
5.6%
s 160
 
5.5%
r 154
 
5.3%
d 115
 
4.0%
Other values (53) 901
31.1%

Violation Points - 14
Categorical

Missing 

Distinct3
Distinct (%)5.3%
Missing1509
Missing (%)96.4%
Memory size97.8 KiB
1.0
36 
2.0
12 
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters171
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 36
 
2.3%
2.0 12
 
0.8%
3.0 9
 
0.6%
(Missing) 1509
96.4%

Length

2025-04-14T23:20:30.657043image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:30.725886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 36
63.2%
2.0 12
 
21.1%
3.0 9
 
15.8%

Most occurring characters

ValueCountFrequency (%)
. 57
33.3%
0 57
33.3%
1 36
21.1%
2 12
 
7.0%
3 9
 
5.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 171
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 57
33.3%
0 57
33.3%
1 36
21.1%
2 12
 
7.0%
3 9
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 171
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 57
33.3%
0 57
33.3%
1 36
21.1%
2 12
 
7.0%
3 9
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 171
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 57
33.3%
0 57
33.3%
1 36
21.1%
2 12
 
7.0%
3 9
 
5.3%

Violation Detail - 14
Text

Missing 

Distinct38
Distinct (%)66.7%
Missing1509
Missing (%)96.4%
Memory size71.9 KiB
2025-04-14T23:20:30.970725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length439
Mean length329.29825
Min length191

Characters and Unicode

Total characters18770
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)47.4%

Sample

1st row228.171 Physical Facilities. Indoor areas, surface characteristics. Except as specified in õ228.222(j) and (k)(1) of this title, materials for indoor floor, wall, and ceiling surfaces under conditions of normal use shall be: (2) closely woven and easily cleanable carpet for carpeted areas; and
2nd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
4th row228.224 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Outfitter Operations. (c) Food temperatures. All food temperature requirements shall be met as contained in Subchapter C of this chapter.
5th row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (B) with sufficient water velocity to agitate and float off loose particles in an overflow; and
ValueCountFrequency (%)
and 165
 
6.6%
food 97
 
3.9%
of 86
 
3.4%
the 70
 
2.8%
a 65
 
2.6%
shall 59
 
2.3%
be 55
 
2.2%
equipment 55
 
2.2%
in 54
 
2.1%
utensils 36
 
1.4%
Other values (539) 1772
70.5%
2025-04-14T23:20:31.369186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3881
20.7%
e 1553
 
8.3%
i 1166
 
6.2%
a 1103
 
5.9%
n 1088
 
5.8%
t 1081
 
5.8%
s 1010
 
5.4%
o 986
 
5.3%
r 712
 
3.8%
d 650
 
3.5%
Other values (57) 5540
29.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18770
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3881
20.7%
e 1553
 
8.3%
i 1166
 
6.2%
a 1103
 
5.9%
n 1088
 
5.8%
t 1081
 
5.8%
s 1010
 
5.4%
o 986
 
5.3%
r 712
 
3.8%
d 650
 
3.5%
Other values (57) 5540
29.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18770
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3881
20.7%
e 1553
 
8.3%
i 1166
 
6.2%
a 1103
 
5.9%
n 1088
 
5.8%
t 1081
 
5.8%
s 1010
 
5.4%
o 986
 
5.3%
r 712
 
3.8%
d 650
 
3.5%
Other values (57) 5540
29.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18770
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3881
20.7%
e 1553
 
8.3%
i 1166
 
6.2%
a 1103
 
5.9%
n 1088
 
5.8%
t 1081
 
5.8%
s 1010
 
5.4%
o 986
 
5.3%
r 712
 
3.8%
d 650
 
3.5%
Other values (57) 5540
29.5%

Violation Memo - 14
Text

Missing 

Distinct53
Distinct (%)98.1%
Missing1512
Missing (%)96.6%
Memory size52.8 KiB
2025-04-14T23:20:31.684736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length166
Median length53.5
Mean length45.055556
Min length11

Characters and Unicode

Total characters2433
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)96.3%

Sample

1st rowCratesblocking area of kitchen. being unable to maintain clean floor
2nd rowClean dust/build up on ceiling near vent hood and in dining room
3rd rowrepair damaged floor tiles by mop sink area
4th rowground lamb observed out at room temperature 56f, cold holding food must be at least 41f/ below
5th rowThaw shrimp under running water
ValueCountFrequency (%)
clean 14
 
3.5%
in 12
 
3.0%
food 12
 
3.0%
on 9
 
2.2%
and 8
 
2.0%
provide 8
 
2.0%
hand 8
 
2.0%
at 5
 
1.2%
repair 5
 
1.2%
ceiling 5
 
1.2%
Other values (200) 318
78.7%
2025-04-14T23:20:32.145272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
351
14.4%
e 214
 
8.8%
n 165
 
6.8%
o 156
 
6.4%
i 150
 
6.2%
a 147
 
6.0%
t 136
 
5.6%
s 125
 
5.1%
r 123
 
5.1%
d 98
 
4.0%
Other values (52) 768
31.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2433
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
351
14.4%
e 214
 
8.8%
n 165
 
6.8%
o 156
 
6.4%
i 150
 
6.2%
a 147
 
6.0%
t 136
 
5.6%
s 125
 
5.1%
r 123
 
5.1%
d 98
 
4.0%
Other values (52) 768
31.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2433
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
351
14.4%
e 214
 
8.8%
n 165
 
6.8%
o 156
 
6.4%
i 150
 
6.2%
a 147
 
6.0%
t 136
 
5.6%
s 125
 
5.1%
r 123
 
5.1%
d 98
 
4.0%
Other values (52) 768
31.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2433
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
351
14.4%
e 214
 
8.8%
n 165
 
6.8%
o 156
 
6.4%
i 150
 
6.2%
a 147
 
6.0%
t 136
 
5.6%
s 125
 
5.1%
r 123
 
5.1%
d 98
 
4.0%
Other values (52) 768
31.6%
Distinct33
Distinct (%)75.0%
Missing1522
Missing (%)97.2%
Memory size51.9 KiB
2025-04-14T23:20:32.446408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length99
Median length62
Mean length41.25
Min length20

Characters and Unicode

Total characters1815
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)56.8%

Sample

1st row*46 Enclosed toilet room w/self closing doors
2nd row*47 Handwashing signage
3rd row*28 Date marking commercially prepared RTE/ TCS food
4th row*42 Dirty nonfood contact surfaces
5th row*46 Covered waste receptacle for women's restroom
ValueCountFrequency (%)
food 12
 
4.2%
47 9
 
3.1%
of 8
 
2.8%
trap 4
 
1.4%
grease 4
 
1.4%
20 4
 
1.4%
use 4
 
1.4%
tickets 4
 
1.4%
45 4
 
1.4%
in 4
 
1.4%
Other values (164) 230
80.1%
2025-04-14T23:20:32.896332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
 
13.5%
e 152
 
8.4%
o 133
 
7.3%
i 107
 
5.9%
a 99
 
5.5%
s 99
 
5.5%
t 95
 
5.2%
n 92
 
5.1%
r 86
 
4.7%
d 76
 
4.2%
Other values (53) 631
34.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1815
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
245
 
13.5%
e 152
 
8.4%
o 133
 
7.3%
i 107
 
5.9%
a 99
 
5.5%
s 99
 
5.5%
t 95
 
5.2%
n 92
 
5.1%
r 86
 
4.7%
d 76
 
4.2%
Other values (53) 631
34.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1815
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
245
 
13.5%
e 152
 
8.4%
o 133
 
7.3%
i 107
 
5.9%
a 99
 
5.5%
s 99
 
5.5%
t 95
 
5.2%
n 92
 
5.1%
r 86
 
4.7%
d 76
 
4.2%
Other values (53) 631
34.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1815
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
245
 
13.5%
e 152
 
8.4%
o 133
 
7.3%
i 107
 
5.9%
a 99
 
5.5%
s 99
 
5.5%
t 95
 
5.2%
n 92
 
5.1%
r 86
 
4.7%
d 76
 
4.2%
Other values (53) 631
34.8%

Violation Points - 15
Categorical

Missing 

Distinct3
Distinct (%)6.8%
Missing1522
Missing (%)97.2%
Memory size97.8 KiB
1.0
28 
3.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters132
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 28
 
1.8%
3.0 9
 
0.6%
2.0 7
 
0.4%
(Missing) 1522
97.2%

Length

2025-04-14T23:20:33.002002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:33.066242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 28
63.6%
3.0 9
 
20.5%
2.0 7
 
15.9%

Most occurring characters

ValueCountFrequency (%)
. 44
33.3%
0 44
33.3%
1 28
21.2%
3 9
 
6.8%
2 7
 
5.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 132
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 44
33.3%
0 44
33.3%
1 28
21.2%
3 9
 
6.8%
2 7
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 132
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 44
33.3%
0 44
33.3%
1 28
21.2%
3 9
 
6.8%
2 7
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 132
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 44
33.3%
0 44
33.3%
1 28
21.2%
3 9
 
6.8%
2 7
 
5.3%

Violation Detail - 15
Text

Missing 

Distinct32
Distinct (%)74.4%
Missing1523
Missing (%)97.3%
Memory size67.0 KiB
2025-04-14T23:20:33.375075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length829
Median length428
Mean length368.48837
Min length184

Characters and Unicode

Total characters15845
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)55.8%

Sample

1st row228.174 Physical Facilities. Functionality. (d) A toilet room located on the premises shall be completely enclosed and provided with a tight-fitting and self-closing door except that this requirement does not apply to a toilet room that is located outside a food establishment and does not open directly into the food establishment such as a toilet room that is provided by the management of a shopping mall.
2nd row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
3rd row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (h) Toilet room receptacle, covered. A toilet room used by females shall be provided with a covered receptacle for sanitary napkins.
ValueCountFrequency (%)
the 102
 
4.5%
and 92
 
4.1%
a 82
 
3.6%
food 76
 
3.4%
of 69
 
3.1%
shall 54
 
2.4%
in 48
 
2.1%
or 48
 
2.1%
be 42
 
1.9%
by 32
 
1.4%
Other values (525) 1615
71.5%
2025-04-14T23:20:33.850071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3213
20.3%
e 1335
 
8.4%
a 959
 
6.1%
i 939
 
5.9%
t 933
 
5.9%
s 878
 
5.5%
o 863
 
5.4%
n 775
 
4.9%
r 669
 
4.2%
l 543
 
3.4%
Other values (59) 4738
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15845
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3213
20.3%
e 1335
 
8.4%
a 959
 
6.1%
i 939
 
5.9%
t 933
 
5.9%
s 878
 
5.5%
o 863
 
5.4%
n 775
 
4.9%
r 669
 
4.2%
l 543
 
3.4%
Other values (59) 4738
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15845
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3213
20.3%
e 1335
 
8.4%
a 959
 
6.1%
i 939
 
5.9%
t 933
 
5.9%
s 878
 
5.5%
o 863
 
5.4%
n 775
 
4.9%
r 669
 
4.2%
l 543
 
3.4%
Other values (59) 4738
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15845
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3213
20.3%
e 1335
 
8.4%
a 959
 
6.1%
i 939
 
5.9%
t 933
 
5.9%
s 878
 
5.5%
o 863
 
5.4%
n 775
 
4.9%
r 669
 
4.2%
l 543
 
3.4%
Other values (59) 4738
29.9%

Violation Memo - 15
Text

Missing 

Distinct40
Distinct (%)97.6%
Missing1525
Missing (%)97.4%
Memory size51.6 KiB
2025-04-14T23:20:34.060306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length104
Median length40
Mean length38.146341
Min length4

Characters and Unicode

Total characters1564
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st rowbathroom door propped open.
2nd rowProvide hand sink sign at both hand sinks
3rd rowall food / tcs cooked foods must be label with expiration dates
4th rowDeep clean kitchen (exterior of equipment, counter/shleves), clean dirty RIF/RIC/WIC gaskets
5th rowProvide lid for trash in women's restroom.
ValueCountFrequency (%)
food 9
 
3.4%
in 8
 
3.0%
provide 7
 
2.6%
hand 7
 
2.6%
post 6
 
2.2%
no 5
 
1.9%
at 5
 
1.9%
sink 5
 
1.9%
of 5
 
1.9%
sign 4
 
1.5%
Other values (152) 206
77.2%
2025-04-14T23:20:34.393853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
14.5%
e 139
 
8.9%
o 127
 
8.1%
a 93
 
5.9%
r 92
 
5.9%
i 91
 
5.8%
n 91
 
5.8%
t 91
 
5.8%
s 73
 
4.7%
d 62
 
4.0%
Other values (43) 479
30.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1564
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
226
14.5%
e 139
 
8.9%
o 127
 
8.1%
a 93
 
5.9%
r 92
 
5.9%
i 91
 
5.8%
n 91
 
5.8%
t 91
 
5.8%
s 73
 
4.7%
d 62
 
4.0%
Other values (43) 479
30.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1564
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
226
14.5%
e 139
 
8.9%
o 127
 
8.1%
a 93
 
5.9%
r 92
 
5.9%
i 91
 
5.8%
n 91
 
5.8%
t 91
 
5.8%
s 73
 
4.7%
d 62
 
4.0%
Other values (43) 479
30.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1564
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
226
14.5%
e 139
 
8.9%
o 127
 
8.1%
a 93
 
5.9%
r 92
 
5.9%
i 91
 
5.8%
n 91
 
5.8%
t 91
 
5.8%
s 73
 
4.7%
d 62
 
4.0%
Other values (43) 479
30.6%
Distinct21
Distinct (%)80.8%
Missing1540
Missing (%)98.3%
Memory size51.1 KiB
2025-04-14T23:20:34.686283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length58
Mean length54.576923
Min length29

Characters and Unicode

Total characters1419
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)65.4%

Sample

1st row*22 Accredited food handler certificate - 60 days
2nd row*43 Light bulbs, light shields provided
3rd row*32 Equipment & Utensils smooth easily cleanable
4th row*12 A food employee or conditional employee shall report to PIC the information as specified under (
5th row*41 Food storage containers, identified with common name of food.
ValueCountFrequency (%)
10
 
4.5%
food 8
 
3.6%
shall 5
 
2.3%
handler 4
 
1.8%
light 4
 
1.8%
22 4
 
1.8%
a 4
 
1.8%
to 4
 
1.8%
of 4
 
1.8%
43 4
 
1.8%
Other values (124) 169
76.8%
2025-04-14T23:20:35.695556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
13.9%
e 136
 
9.6%
t 98
 
6.9%
i 93
 
6.6%
o 84
 
5.9%
n 81
 
5.7%
s 75
 
5.3%
a 68
 
4.8%
r 62
 
4.4%
d 54
 
3.8%
Other values (56) 471
33.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1419
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
197
13.9%
e 136
 
9.6%
t 98
 
6.9%
i 93
 
6.6%
o 84
 
5.9%
n 81
 
5.7%
s 75
 
5.3%
a 68
 
4.8%
r 62
 
4.4%
d 54
 
3.8%
Other values (56) 471
33.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1419
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
197
13.9%
e 136
 
9.6%
t 98
 
6.9%
i 93
 
6.6%
o 84
 
5.9%
n 81
 
5.7%
s 75
 
5.3%
a 68
 
4.8%
r 62
 
4.4%
d 54
 
3.8%
Other values (56) 471
33.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1419
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
197
13.9%
e 136
 
9.6%
t 98
 
6.9%
i 93
 
6.6%
o 84
 
5.9%
n 81
 
5.7%
s 75
 
5.3%
a 68
 
4.8%
r 62
 
4.4%
d 54
 
3.8%
Other values (56) 471
33.2%

Violation Points - 16
Categorical

High correlation  Missing 

Distinct3
Distinct (%)11.5%
Missing1540
Missing (%)98.3%
Memory size97.9 KiB
1.0
14 
2.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row2.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 14
 
0.9%
2.0 8
 
0.5%
3.0 4
 
0.3%
(Missing) 1540
98.3%

Length

2025-04-14T23:20:35.801679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:35.867796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 14
53.8%
2.0 8
30.8%
3.0 4
 
15.4%

Most occurring characters

ValueCountFrequency (%)
. 26
33.3%
0 26
33.3%
1 14
17.9%
2 8
 
10.3%
3 4
 
5.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 26
33.3%
0 26
33.3%
1 14
17.9%
2 8
 
10.3%
3 4
 
5.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 26
33.3%
0 26
33.3%
1 14
17.9%
2 8
 
10.3%
3 4
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 26
33.3%
0 26
33.3%
1 14
17.9%
2 8
 
10.3%
3 4
 
5.1%

Violation Detail - 16
Text

Missing 

Distinct20
Distinct (%)80.0%
Missing1541
Missing (%)98.4%
Memory size60.6 KiB
2025-04-14T23:20:36.133345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length714
Median length372
Mean length338.8
Min length163

Characters and Unicode

Total characters8470
Distinct characters61
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)64.0%

Sample

1st rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
2nd row228.174 Physical Facilities. Functionality. (a) Light bulbs, protective shielding. (1) Except as specified in paragraph (2) of this subsection, light bulbs shall be shielded, coated, or otherwise shatter-resistant in areas where there is exposed food; clean equipment, utensils, and linens; or unwrapped single-service and single-use articles.
3rd row228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; and
4th row228.35 Management and Personnel. Responsibilities and Reporting Symptoms and Diagnosis. (e) A food employee or conditional employee shall report to the person in charge the information as specified in subsection (a) of this section.
5th row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
ValueCountFrequency (%)
and 80
 
7.1%
food 47
 
4.1%
of 32
 
2.8%
a 29
 
2.6%
shall 28
 
2.5%
the 27
 
2.4%
in 26
 
2.3%
equipment 25
 
2.2%
be 20
 
1.8%
or 16
 
1.4%
Other values (351) 803
70.9%
2025-04-14T23:20:36.567880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1612
19.0%
e 754
 
8.9%
i 538
 
6.4%
n 529
 
6.2%
a 508
 
6.0%
t 498
 
5.9%
s 481
 
5.7%
o 424
 
5.0%
r 324
 
3.8%
l 300
 
3.5%
Other values (51) 2502
29.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8470
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1612
19.0%
e 754
 
8.9%
i 538
 
6.4%
n 529
 
6.2%
a 508
 
6.0%
t 498
 
5.9%
s 481
 
5.7%
o 424
 
5.0%
r 324
 
3.8%
l 300
 
3.5%
Other values (51) 2502
29.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8470
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1612
19.0%
e 754
 
8.9%
i 538
 
6.4%
n 529
 
6.2%
a 508
 
6.0%
t 498
 
5.9%
s 481
 
5.7%
o 424
 
5.0%
r 324
 
3.8%
l 300
 
3.5%
Other values (51) 2502
29.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8470
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1612
19.0%
e 754
 
8.9%
i 538
 
6.4%
n 529
 
6.2%
a 508
 
6.0%
t 498
 
5.9%
s 481
 
5.7%
o 424
 
5.0%
r 324
 
3.8%
l 300
 
3.5%
Other values (51) 2502
29.5%

Violation Memo - 16
Text

Missing 

Distinct22
Distinct (%)95.7%
Missing1543
Missing (%)98.5%
Memory size50.5 KiB
2025-04-14T23:20:36.877103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length75
Median length44
Mean length37.782609
Min length6

Characters and Unicode

Total characters869
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)91.3%

Sample

1st rowProvide Food Handler Certificates
2nd rowRepair light under venthood
3rd rowDo not use foil as a liner. Remove plastic film on dishwasher.
4th rowPerson in charge doesn't know about knowledge or reporting.
5th rowprovide label for food storage containers
ValueCountFrequency (%)
in 8
 
5.7%
food 6
 
4.3%
not 4
 
2.8%
handler 3
 
2.1%
use 3
 
2.1%
must 3
 
2.1%
all 3
 
2.1%
be 3
 
2.1%
provide 2
 
1.4%
do 2
 
1.4%
Other values (91) 104
73.8%
2025-04-14T23:20:37.288747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
13.7%
e 85
 
9.8%
o 60
 
6.9%
n 57
 
6.6%
i 54
 
6.2%
t 49
 
5.6%
a 49
 
5.6%
r 48
 
5.5%
s 43
 
4.9%
l 38
 
4.4%
Other values (42) 267
30.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 869
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
119
13.7%
e 85
 
9.8%
o 60
 
6.9%
n 57
 
6.6%
i 54
 
6.2%
t 49
 
5.6%
a 49
 
5.6%
r 48
 
5.5%
s 43
 
4.9%
l 38
 
4.4%
Other values (42) 267
30.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 869
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
119
13.7%
e 85
 
9.8%
o 60
 
6.9%
n 57
 
6.6%
i 54
 
6.2%
t 49
 
5.6%
a 49
 
5.6%
r 48
 
5.5%
s 43
 
4.9%
l 38
 
4.4%
Other values (42) 267
30.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 869
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
119
13.7%
e 85
 
9.8%
o 60
 
6.9%
n 57
 
6.6%
i 54
 
6.2%
t 49
 
5.6%
a 49
 
5.6%
r 48
 
5.5%
s 43
 
4.9%
l 38
 
4.4%
Other values (42) 267
30.7%
Distinct14
Distinct (%)82.4%
Missing1549
Missing (%)98.9%
Memory size50.2 KiB
2025-04-14T23:20:37.533318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length97
Median length46
Mean length45.294118
Min length20

Characters and Unicode

Total characters770
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)64.7%

Sample

1st row*46 Covered waste receptacle for women's restroom
2nd row*41 Food storage containers, identified with common name of food.
3rd row*14 When to wash hands before donning new gloves
4th row*28 Date marking > 24 hrs,on site,temp 41F
5th row*45 Lockers to be used to store personal items
ValueCountFrequency (%)
food 8
 
6.3%
with 4
 
3.2%
of 4
 
3.2%
name 3
 
2.4%
24 3
 
2.4%
47 3
 
2.4%
3
 
2.4%
common 3
 
2.4%
to 3
 
2.4%
containers 2
 
1.6%
Other values (74) 90
71.4%
2025-04-14T23:20:37.901175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
14.4%
e 72
 
9.4%
o 69
 
9.0%
t 49
 
6.4%
n 45
 
5.8%
s 41
 
5.3%
a 39
 
5.1%
i 38
 
4.9%
r 36
 
4.7%
d 27
 
3.5%
Other values (42) 243
31.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 770
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
111
14.4%
e 72
 
9.4%
o 69
 
9.0%
t 49
 
6.4%
n 45
 
5.8%
s 41
 
5.3%
a 39
 
5.1%
i 38
 
4.9%
r 36
 
4.7%
d 27
 
3.5%
Other values (42) 243
31.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 770
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
111
14.4%
e 72
 
9.4%
o 69
 
9.0%
t 49
 
6.4%
n 45
 
5.8%
s 41
 
5.3%
a 39
 
5.1%
i 38
 
4.9%
r 36
 
4.7%
d 27
 
3.5%
Other values (42) 243
31.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 770
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
111
14.4%
e 72
 
9.4%
o 69
 
9.0%
t 49
 
6.4%
n 45
 
5.8%
s 41
 
5.3%
a 39
 
5.1%
i 38
 
4.9%
r 36
 
4.7%
d 27
 
3.5%
Other values (42) 243
31.6%

Violation Points - 17
Categorical

High correlation  Missing 

Distinct3
Distinct (%)17.6%
Missing1549
Missing (%)98.9%
Memory size97.9 KiB
1.0
3.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters51
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 9
 
0.6%
3.0 5
 
0.3%
2.0 3
 
0.2%
(Missing) 1549
98.9%

Length

2025-04-14T23:20:38.010068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:38.078385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 9
52.9%
3.0 5
29.4%
2.0 3
 
17.6%

Most occurring characters

ValueCountFrequency (%)
. 17
33.3%
0 17
33.3%
1 9
17.6%
3 5
 
9.8%
2 3
 
5.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 51
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 17
33.3%
0 17
33.3%
1 9
17.6%
3 5
 
9.8%
2 3
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 51
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 17
33.3%
0 17
33.3%
1 9
17.6%
3 5
 
9.8%
2 3
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 51
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 17
33.3%
0 17
33.3%
1 9
17.6%
3 5
 
9.8%
2 3
 
5.9%

Violation Detail - 17
Text

Missing 

Distinct13
Distinct (%)86.7%
Missing1551
Missing (%)99.0%
Memory size56.6 KiB
2025-04-14T23:20:38.299721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length815
Median length375
Mean length428.33333
Min length217

Characters and Unicode

Total characters6425
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)73.3%

Sample

1st row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (h) Toilet room receptacle, covered. A toilet room used by females shall be provided with a covered receptacle for sanitary napkins.
2nd row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
3rd row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (j) Using dressing rooms and lockers. (2) Lockers or other suitable facilities shall be used for the orderly storage of employee clothing and other possessions.
ValueCountFrequency (%)
food 58
 
6.2%
and 55
 
5.9%
the 38
 
4.1%
of 31
 
3.3%
a 24
 
2.6%
in 19
 
2.0%
be 18
 
1.9%
shall 18
 
1.9%
as 16
 
1.7%
or 15
 
1.6%
Other values (276) 637
68.6%
2025-04-14T23:20:38.666934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1283
20.0%
e 581
 
9.0%
o 399
 
6.2%
a 397
 
6.2%
i 373
 
5.8%
n 360
 
5.6%
t 357
 
5.6%
s 343
 
5.3%
r 262
 
4.1%
d 257
 
4.0%
Other values (53) 1813
28.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6425
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1283
20.0%
e 581
 
9.0%
o 399
 
6.2%
a 397
 
6.2%
i 373
 
5.8%
n 360
 
5.6%
t 357
 
5.6%
s 343
 
5.3%
r 262
 
4.1%
d 257
 
4.0%
Other values (53) 1813
28.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6425
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1283
20.0%
e 581
 
9.0%
o 399
 
6.2%
a 397
 
6.2%
i 373
 
5.8%
n 360
 
5.6%
t 357
 
5.6%
s 343
 
5.3%
r 262
 
4.1%
d 257
 
4.0%
Other values (53) 1813
28.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6425
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1283
20.0%
e 581
 
9.0%
o 399
 
6.2%
a 397
 
6.2%
i 373
 
5.8%
n 360
 
5.6%
t 357
 
5.6%
s 343
 
5.3%
r 262
 
4.1%
d 257
 
4.0%
Other values (53) 1813
28.2%

Violation Memo - 17
Text

Missing 

Distinct16
Distinct (%)100.0%
Missing1550
Missing (%)99.0%
Memory size50.1 KiB
2025-04-14T23:20:38.935064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length85
Median length45
Mean length42.5
Min length9

Characters and Unicode

Total characters680
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st rowLabel all bulk containers
2nd rowEmployees didn't wash their hands before putting on gloves.
3rd rowclearly date mark tcs food for 7 days only
4th rowDo not store personal items on clean glasses
5th rowLABEL SPRAY BOTTLES THAT HAVE WATER IN THEM. LABEL DRY INGREDIENT STORAGE CONTAINERS.
ValueCountFrequency (%)
in 5
 
4.2%
food 5
 
4.2%
label 4
 
3.3%
not 4
 
3.3%
for 4
 
3.3%
post 3
 
2.5%
do 3
 
2.5%
store 3
 
2.5%
on 3
 
2.5%
employees 2
 
1.7%
Other values (66) 84
70.0%
2025-04-14T23:20:39.305861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
15.3%
e 54
 
7.9%
o 51
 
7.5%
a 36
 
5.3%
n 35
 
5.1%
t 32
 
4.7%
s 29
 
4.3%
r 29
 
4.3%
l 29
 
4.3%
i 26
 
3.8%
Other values (39) 255
37.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 680
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
104
15.3%
e 54
 
7.9%
o 51
 
7.5%
a 36
 
5.3%
n 35
 
5.1%
t 32
 
4.7%
s 29
 
4.3%
r 29
 
4.3%
l 29
 
4.3%
i 26
 
3.8%
Other values (39) 255
37.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 680
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
104
15.3%
e 54
 
7.9%
o 51
 
7.5%
a 36
 
5.3%
n 35
 
5.1%
t 32
 
4.7%
s 29
 
4.3%
r 29
 
4.3%
l 29
 
4.3%
i 26
 
3.8%
Other values (39) 255
37.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 680
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
104
15.3%
e 54
 
7.9%
o 51
 
7.5%
a 36
 
5.3%
n 35
 
5.1%
t 32
 
4.7%
s 29
 
4.3%
r 29
 
4.3%
l 29
 
4.3%
i 26
 
3.8%
Other values (39) 255
37.5%
Distinct7
Distinct (%)70.0%
Missing1556
Missing (%)99.4%
Memory size49.8 KiB
2025-04-14T23:20:39.505262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length97
Median length51
Mean length46.6
Min length23

Characters and Unicode

Total characters466
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)50.0%

Sample

1st row*44 Refuse/recyclables area maintained in good repair
2nd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
3rd row*22 Accredited food handler certificate - 60 days
4th row*20 Grease Trap Tickets
5th row*42 Dirty nonfood contact surfaces
ValueCountFrequency (%)
food 6
 
8.5%
cross 4
 
5.6%
20 3
 
4.2%
trap 3
 
4.2%
grease 3
 
4.2%
tickets 3
 
4.2%
in 3
 
4.2%
protected 2
 
2.8%
contamination 2
 
2.8%
arrange 2
 
2.8%
Other values (33) 40
56.3%
2025-04-14T23:20:39.818158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
13.5%
e 47
 
10.1%
o 33
 
7.1%
s 29
 
6.2%
a 29
 
6.2%
r 29
 
6.2%
t 28
 
6.0%
n 25
 
5.4%
i 25
 
5.4%
c 23
 
4.9%
Other values (33) 135
29.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 466
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
63
13.5%
e 47
 
10.1%
o 33
 
7.1%
s 29
 
6.2%
a 29
 
6.2%
r 29
 
6.2%
t 28
 
6.0%
n 25
 
5.4%
i 25
 
5.4%
c 23
 
4.9%
Other values (33) 135
29.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 466
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
63
13.5%
e 47
 
10.1%
o 33
 
7.1%
s 29
 
6.2%
a 29
 
6.2%
r 29
 
6.2%
t 28
 
6.0%
n 25
 
5.4%
i 25
 
5.4%
c 23
 
4.9%
Other values (33) 135
29.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 466
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
63
13.5%
e 47
 
10.1%
o 33
 
7.1%
s 29
 
6.2%
a 29
 
6.2%
r 29
 
6.2%
t 28
 
6.0%
n 25
 
5.4%
i 25
 
5.4%
c 23
 
4.9%
Other values (33) 135
29.0%

Violation Points - 18
Categorical

High correlation  Missing 

Distinct3
Distinct (%)30.0%
Missing1556
Missing (%)99.4%
Memory size98.0 KiB
3.0
1.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row2.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 5
 
0.3%
1.0 3
 
0.2%
2.0 2
 
0.1%
(Missing) 1556
99.4%

Length

2025-04-14T23:20:39.920886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:39.985040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
3.0 5
50.0%
1.0 3
30.0%
2.0 2
 
20.0%

Most occurring characters

ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
3 5
16.7%
1 3
 
10.0%
2 2
 
6.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
3 5
16.7%
1 3
 
10.0%
2 2
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
3 5
16.7%
1 3
 
10.0%
2 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 10
33.3%
0 10
33.3%
3 5
16.7%
1 3
 
10.0%
2 2
 
6.7%

Violation Detail - 18
Text

Missing 

Distinct7
Distinct (%)70.0%
Missing1556
Missing (%)99.4%
Memory size52.9 KiB
2025-04-14T23:20:40.335789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length545
Median length335
Mean length337.1
Min length222

Characters and Unicode

Total characters3371
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)50.0%

Sample

1st row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (l) Areas, enclosures, and receptacles, good repair. Storage areas, enclosures, and receptacles for refuse, recyclables, and returnables shall be maintained in good repair.
2nd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
3rd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
4th rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
ValueCountFrequency (%)
and 28
 
5.8%
a 20
 
4.1%
the 20
 
4.1%
food 19
 
3.9%
of 17
 
3.5%
shall 13
 
2.7%
by 9
 
1.9%
is 7
 
1.4%
from 7
 
1.4%
transporter 6
 
1.2%
Other values (170) 339
69.9%
2025-04-14T23:20:40.917464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
700
20.8%
e 287
 
8.5%
a 214
 
6.3%
t 190
 
5.6%
o 185
 
5.5%
n 180
 
5.3%
r 169
 
5.0%
s 168
 
5.0%
i 163
 
4.8%
d 112
 
3.3%
Other values (53) 1003
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3371
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
700
20.8%
e 287
 
8.5%
a 214
 
6.3%
t 190
 
5.6%
o 185
 
5.5%
n 180
 
5.3%
r 169
 
5.0%
s 168
 
5.0%
i 163
 
4.8%
d 112
 
3.3%
Other values (53) 1003
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3371
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
700
20.8%
e 287
 
8.5%
a 214
 
6.3%
t 190
 
5.6%
o 185
 
5.5%
n 180
 
5.3%
r 169
 
5.0%
s 168
 
5.0%
i 163
 
4.8%
d 112
 
3.3%
Other values (53) 1003
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3371
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
700
20.8%
e 287
 
8.5%
a 214
 
6.3%
t 190
 
5.6%
o 185
 
5.5%
n 180
 
5.3%
r 169
 
5.0%
s 168
 
5.0%
i 163
 
4.8%
d 112
 
3.3%
Other values (53) 1003
29.8%

Violation Memo - 18
Text

Missing 

Distinct9
Distinct (%)100.0%
Missing1557
Missing (%)99.4%
Memory size49.6 KiB
2025-04-14T23:20:41.216864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length81
Median length34
Mean length37.444444
Min length23

Characters and Unicode

Total characters337
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowClean and maintain garbage container (dumpster outside) free of debris and litter
2nd rowEggs above RTE food on top shelf.
3rd rowprovide food handler cards
4th rowProvide Grease Trap report on site
5th rowCLEANS FLOORS AND CEILING TILES
ValueCountFrequency (%)
and 3
 
5.1%
food 3
 
5.1%
on 3
 
5.1%
above 2
 
3.4%
grease 2
 
3.4%
provide 2
 
3.4%
eggs 2
 
3.4%
trap 2
 
3.4%
site 2
 
3.4%
container 1
 
1.7%
Other values (37) 37
62.7%
2025-04-14T23:20:41.657205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
14.8%
e 31
 
9.2%
r 25
 
7.4%
o 25
 
7.4%
a 24
 
7.1%
t 20
 
5.9%
d 16
 
4.7%
n 15
 
4.5%
s 14
 
4.2%
i 14
 
4.2%
Other values (33) 103
30.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 337
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
50
14.8%
e 31
 
9.2%
r 25
 
7.4%
o 25
 
7.4%
a 24
 
7.1%
t 20
 
5.9%
d 16
 
4.7%
n 15
 
4.5%
s 14
 
4.2%
i 14
 
4.2%
Other values (33) 103
30.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 337
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
50
14.8%
e 31
 
9.2%
r 25
 
7.4%
o 25
 
7.4%
a 24
 
7.1%
t 20
 
5.9%
d 16
 
4.7%
n 15
 
4.5%
s 14
 
4.2%
i 14
 
4.2%
Other values (33) 103
30.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 337
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
50
14.8%
e 31
 
9.2%
r 25
 
7.4%
o 25
 
7.4%
a 24
 
7.1%
t 20
 
5.9%
d 16
 
4.7%
n 15
 
4.5%
s 14
 
4.2%
i 14
 
4.2%
Other values (33) 103
30.6%
Distinct7
Distinct (%)100.0%
Missing1559
Missing (%)99.6%
Memory size49.7 KiB
2025-04-14T23:20:41.987995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length47
Mean length51.285714
Min length34

Characters and Unicode

Total characters359
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row*45 Premises shall be maintained in good repair
2nd row*18 Toxic items labeling-non original container
3rd row*42 Dirty nonfood contact surfaces
4th row*43 Clean vent syst:Intake/exhaust air ducts
5th row*21 Being a certified food protection manager who has shown proficiency of required information thro
ValueCountFrequency (%)
maintained 2
 
3.6%
food 2
 
3.6%
of 2
 
3.6%
45 1
 
1.8%
be 1
 
1.8%
in 1
 
1.8%
good 1
 
1.8%
repair 1
 
1.8%
18 1
 
1.8%
toxic 1
 
1.8%
Other values (42) 42
76.4%
2025-04-14T23:20:42.475466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
13.6%
e 29
 
8.1%
o 28
 
7.8%
i 27
 
7.5%
n 26
 
7.2%
a 23
 
6.4%
t 21
 
5.8%
r 20
 
5.6%
s 17
 
4.7%
c 13
 
3.6%
Other values (35) 106
29.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 359
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
49
13.6%
e 29
 
8.1%
o 28
 
7.8%
i 27
 
7.5%
n 26
 
7.2%
a 23
 
6.4%
t 21
 
5.8%
r 20
 
5.6%
s 17
 
4.7%
c 13
 
3.6%
Other values (35) 106
29.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 359
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
49
13.6%
e 29
 
8.1%
o 28
 
7.8%
i 27
 
7.5%
n 26
 
7.2%
a 23
 
6.4%
t 21
 
5.8%
r 20
 
5.6%
s 17
 
4.7%
c 13
 
3.6%
Other values (35) 106
29.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 359
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
49
13.6%
e 29
 
8.1%
o 28
 
7.8%
i 27
 
7.5%
n 26
 
7.2%
a 23
 
6.4%
t 21
 
5.8%
r 20
 
5.6%
s 17
 
4.7%
c 13
 
3.6%
Other values (35) 106
29.5%

Violation Points - 19
Categorical

High correlation  Missing 

Distinct3
Distinct (%)42.9%
Missing1559
Missing (%)99.6%
Memory size98.0 KiB
1.0
3.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters21
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)14.3%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 4
 
0.3%
3.0 2
 
0.1%
2.0 1
 
0.1%
(Missing) 1559
99.6%

Length

2025-04-14T23:20:42.647456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:42.723284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4
57.1%
3.0 2
28.6%
2.0 1
 
14.3%

Most occurring characters

ValueCountFrequency (%)
. 7
33.3%
0 7
33.3%
1 4
19.0%
3 2
 
9.5%
2 1
 
4.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 21
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 7
33.3%
0 7
33.3%
1 4
19.0%
3 2
 
9.5%
2 1
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 21
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 7
33.3%
0 7
33.3%
1 4
19.0%
3 2
 
9.5%
2 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 21
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 7
33.3%
0 7
33.3%
1 4
19.0%
3 2
 
9.5%
2 1
 
4.8%

Violation Detail - 19
Text

Missing 

Distinct7
Distinct (%)100.0%
Missing1559
Missing (%)99.6%
Memory size52.4 KiB
2025-04-14T23:20:42.930586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length675
Median length288
Mean length369.42857
Min length205

Characters and Unicode

Total characters2586
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
2nd row228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
5th row228.32 Management and Personnel. Knowledge. Based on the risks inherent to the food operation, during inspections and upon request the person in charge shall demonstrate to the regulatory authority knowledge of foodborne disease prevention, application of the Hazard Analysis Critical Control Point principles, and the requirements of this rule. The person in charge shall demonstrate this knowledge by: (2) being a certified food protection manager who has shown proficiency of required information through passing a test that is part of an Accredited Program; or
ValueCountFrequency (%)
and 23
 
6.5%
of 16
 
4.5%
the 11
 
3.1%
a 8
 
2.3%
be 7
 
2.0%
or 7
 
2.0%
shall 7
 
2.0%
in 6
 
1.7%
equipment 6
 
1.7%
food 6
 
1.7%
Other values (174) 257
72.6%
2025-04-14T23:20:43.246778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
522
20.2%
e 228
 
8.8%
i 168
 
6.5%
n 148
 
5.7%
s 147
 
5.7%
a 145
 
5.6%
t 143
 
5.5%
o 136
 
5.3%
r 118
 
4.6%
d 83
 
3.2%
Other values (52) 748
28.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2586
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
522
20.2%
e 228
 
8.8%
i 168
 
6.5%
n 148
 
5.7%
s 147
 
5.7%
a 145
 
5.6%
t 143
 
5.5%
o 136
 
5.3%
r 118
 
4.6%
d 83
 
3.2%
Other values (52) 748
28.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2586
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
522
20.2%
e 228
 
8.8%
i 168
 
6.5%
n 148
 
5.7%
s 147
 
5.7%
a 145
 
5.6%
t 143
 
5.5%
o 136
 
5.3%
r 118
 
4.6%
d 83
 
3.2%
Other values (52) 748
28.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2586
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
522
20.2%
e 228
 
8.8%
i 168
 
6.5%
n 148
 
5.7%
s 147
 
5.7%
a 145
 
5.6%
t 143
 
5.5%
o 136
 
5.3%
r 118
 
4.6%
d 83
 
3.2%
Other values (52) 748
28.9%

Violation Memo - 19
Text

Missing 

Distinct7
Distinct (%)100.0%
Missing1559
Missing (%)99.6%
Memory size49.6 KiB
2025-04-14T23:20:43.447219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length83
Median length42
Mean length49
Min length11

Characters and Unicode

Total characters343
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowRepair broken floor tile, walls, baseboards, and loose faucet @ bar
2nd rowChemical bottles not labeled.
3rd rowclean gaskets around cooler doors, clean shelves, clean coolers, freezers, cabinets
4th rowCLEAN VENTS
5th rowNo food manager certified person working onsite, no one certified food manager.
ValueCountFrequency (%)
clean 4
 
7.7%
food 2
 
3.8%
not 2
 
3.8%
manager 2
 
3.8%
certified 2
 
3.8%
no 2
 
3.8%
walls 1
 
1.9%
baseboards 1
 
1.9%
repair 1
 
1.9%
broken 1
 
1.9%
Other values (34) 34
65.4%
2025-04-14T23:20:43.753814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
13.1%
e 38
 
11.1%
o 32
 
9.3%
r 22
 
6.4%
s 20
 
5.8%
l 20
 
5.8%
n 20
 
5.8%
a 20
 
5.8%
i 15
 
4.4%
t 13
 
3.8%
Other values (30) 98
28.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 343
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
45
13.1%
e 38
 
11.1%
o 32
 
9.3%
r 22
 
6.4%
s 20
 
5.8%
l 20
 
5.8%
n 20
 
5.8%
a 20
 
5.8%
i 15
 
4.4%
t 13
 
3.8%
Other values (30) 98
28.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 343
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
45
13.1%
e 38
 
11.1%
o 32
 
9.3%
r 22
 
6.4%
s 20
 
5.8%
l 20
 
5.8%
n 20
 
5.8%
a 20
 
5.8%
i 15
 
4.4%
t 13
 
3.8%
Other values (30) 98
28.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 343
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
45
13.1%
e 38
 
11.1%
o 32
 
9.3%
r 22
 
6.4%
s 20
 
5.8%
l 20
 
5.8%
n 20
 
5.8%
a 20
 
5.8%
i 15
 
4.4%
t 13
 
3.8%
Other values (30) 98
28.6%
Distinct5
Distinct (%)100.0%
Missing1561
Missing (%)99.7%
Memory size49.4 KiB
2025-04-14T23:20:43.932218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length49
Median length26
Mean length30.4
Min length20

Characters and Unicode

Total characters152
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row*47 Other Violations
2nd row*20 Grease Trap Tickets
3rd row*44 Indoor Trash Can Cover
4th row*47 Conditions of Permit-in use of food equipment
5th row*02 Cold Hold (41øF/45øF or below)
ValueCountFrequency (%)
47 2
 
7.7%
of 2
 
7.7%
violations 1
 
3.8%
other 1
 
3.8%
grease 1
 
3.8%
trap 1
 
3.8%
tickets 1
 
3.8%
20 1
 
3.8%
44 1
 
3.8%
indoor 1
 
3.8%
Other values (14) 14
53.8%
2025-04-14T23:20:44.197888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
13.8%
o 15
 
9.9%
e 10
 
6.6%
i 8
 
5.3%
r 8
 
5.3%
n 7
 
4.6%
t 6
 
3.9%
4 6
 
3.9%
s 6
 
3.9%
a 5
 
3.3%
Other values (33) 60
39.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 152
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
21
 
13.8%
o 15
 
9.9%
e 10
 
6.6%
i 8
 
5.3%
r 8
 
5.3%
n 7
 
4.6%
t 6
 
3.9%
4 6
 
3.9%
s 6
 
3.9%
a 5
 
3.3%
Other values (33) 60
39.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 152
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
21
 
13.8%
o 15
 
9.9%
e 10
 
6.6%
i 8
 
5.3%
r 8
 
5.3%
n 7
 
4.6%
t 6
 
3.9%
4 6
 
3.9%
s 6
 
3.9%
a 5
 
3.3%
Other values (33) 60
39.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 152
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
21
 
13.8%
o 15
 
9.9%
e 10
 
6.6%
i 8
 
5.3%
r 8
 
5.3%
n 7
 
4.6%
t 6
 
3.9%
4 6
 
3.9%
s 6
 
3.9%
a 5
 
3.3%
Other values (33) 60
39.5%

Violation Points - 20
Categorical

High correlation  Missing 

Distinct2
Distinct (%)40.0%
Missing1561
Missing (%)99.7%
Memory size98.0 KiB
1.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 3
 
0.2%
3.0 2
 
0.1%
(Missing) 1561
99.7%

Length

2025-04-14T23:20:44.302785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:44.361233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3
60.0%
3.0 2
40.0%

Most occurring characters

ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
1 3
20.0%
3 2
 
13.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
1 3
20.0%
3 2
 
13.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
1 3
20.0%
3 2
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
1 3
20.0%
3 2
 
13.3%

Violation Detail - 20
Text

Missing 

Distinct4
Distinct (%)100.0%
Missing1562
Missing (%)99.7%
Memory size50.7 KiB
2025-04-14T23:20:44.595868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length521
Median length391
Mean length394.75
Min length276

Characters and Unicode

Total characters1579
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
2nd row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (n) Covering receptacles. Receptacles and waste handling units for refuse, recyclables, and returnables shall be kept covered: (1) inside the food establishment if the receptacles and units:
3rd row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
4th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
ValueCountFrequency (%)
the 17
 
7.5%
and 10
 
4.4%
of 7
 
3.1%
a 6
 
2.6%
food 5
 
2.2%
shall 5
 
2.2%
or 5
 
2.2%
in 5
 
2.2%
permit 4
 
1.8%
by 4
 
1.8%
Other values (120) 160
70.2%
2025-04-14T23:20:44.957394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
342
21.7%
e 147
 
9.3%
t 107
 
6.8%
o 87
 
5.5%
s 84
 
5.3%
a 82
 
5.2%
i 81
 
5.1%
r 78
 
4.9%
n 71
 
4.5%
c 51
 
3.2%
Other values (45) 449
28.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1579
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
342
21.7%
e 147
 
9.3%
t 107
 
6.8%
o 87
 
5.5%
s 84
 
5.3%
a 82
 
5.2%
i 81
 
5.1%
r 78
 
4.9%
n 71
 
4.5%
c 51
 
3.2%
Other values (45) 449
28.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1579
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
342
21.7%
e 147
 
9.3%
t 107
 
6.8%
o 87
 
5.5%
s 84
 
5.3%
a 82
 
5.2%
i 81
 
5.1%
r 78
 
4.9%
n 71
 
4.5%
c 51
 
3.2%
Other values (45) 449
28.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1579
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
342
21.7%
e 147
 
9.3%
t 107
 
6.8%
o 87
 
5.5%
s 84
 
5.3%
a 82
 
5.2%
i 81
 
5.1%
r 78
 
4.9%
n 71
 
4.5%
c 51
 
3.2%
Other values (45) 449
28.4%

Violation Memo - 20
Text

Missing 

Distinct5
Distinct (%)100.0%
Missing1561
Missing (%)99.7%
Memory size49.4 KiB
2025-04-14T23:20:45.151833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length77
Median length38
Mean length44.6
Min length27

Characters and Unicode

Total characters223
Distinct characters44
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowPost 'choking poster' sign up for public view
2nd rowNo grease trap ticket provided onsite.
3rd rowUSE PROPER WASTE CONTAINERS
4th rowprovide sign about inspection report
5th rowImproper cold holding: RIC 50, onion 51, ham 49, tomato 48, pico de gallo 48.
ValueCountFrequency (%)
sign 2
 
5.3%
48 2
 
5.3%
choking 1
 
2.6%
post 1
 
2.6%
poster 1
 
2.6%
up 1
 
2.6%
public 1
 
2.6%
for 1
 
2.6%
no 1
 
2.6%
grease 1
 
2.6%
Other values (26) 26
68.4%
2025-04-14T23:20:45.424122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
14.8%
o 20
 
9.0%
i 14
 
6.3%
e 12
 
5.4%
p 11
 
4.9%
t 11
 
4.9%
r 10
 
4.5%
n 9
 
4.0%
s 7
 
3.1%
d 6
 
2.7%
Other values (34) 90
40.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 223
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
33
 
14.8%
o 20
 
9.0%
i 14
 
6.3%
e 12
 
5.4%
p 11
 
4.9%
t 11
 
4.9%
r 10
 
4.5%
n 9
 
4.0%
s 7
 
3.1%
d 6
 
2.7%
Other values (34) 90
40.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 223
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
33
 
14.8%
o 20
 
9.0%
i 14
 
6.3%
e 12
 
5.4%
p 11
 
4.9%
t 11
 
4.9%
r 10
 
4.5%
n 9
 
4.0%
s 7
 
3.1%
d 6
 
2.7%
Other values (34) 90
40.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 223
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
33
 
14.8%
o 20
 
9.0%
i 14
 
6.3%
e 12
 
5.4%
p 11
 
4.9%
t 11
 
4.9%
r 10
 
4.5%
n 9
 
4.0%
s 7
 
3.1%
d 6
 
2.7%
Other values (34) 90
40.4%
Distinct5
Distinct (%)100.0%
Missing1561
Missing (%)99.7%
Memory size49.6 KiB
2025-04-14T23:20:45.626593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length48
Mean length63.6
Min length32

Characters and Unicode

Total characters318
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row*46 Physical Facilities Premises
2nd row*21 Being a certified food protection manager who has shown proficiency of required information thro
3rd row*45 Premises shall be maintained in good repair
4th row*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep
5th row*01 Cooling -- total 6 hours, 135-41øF
ValueCountFrequency (%)
food 3
 
6.2%
premises 2
 
4.2%
in 2
 
4.2%
physical 1
 
2.1%
facilities 1
 
2.1%
21 1
 
2.1%
a 1
 
2.1%
being 1
 
2.1%
certified 1
 
2.1%
protection 1
 
2.1%
Other values (34) 34
70.8%
2025-04-14T23:20:45.932148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
13.8%
e 27
 
8.5%
i 26
 
8.2%
o 24
 
7.5%
s 19
 
6.0%
r 19
 
6.0%
n 19
 
6.0%
a 16
 
5.0%
t 13
 
4.1%
p 9
 
2.8%
Other values (31) 102
32.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 318
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
44
13.8%
e 27
 
8.5%
i 26
 
8.2%
o 24
 
7.5%
s 19
 
6.0%
r 19
 
6.0%
n 19
 
6.0%
a 16
 
5.0%
t 13
 
4.1%
p 9
 
2.8%
Other values (31) 102
32.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 318
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
44
13.8%
e 27
 
8.5%
i 26
 
8.2%
o 24
 
7.5%
s 19
 
6.0%
r 19
 
6.0%
n 19
 
6.0%
a 16
 
5.0%
t 13
 
4.1%
p 9
 
2.8%
Other values (31) 102
32.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 318
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
44
13.8%
e 27
 
8.5%
i 26
 
8.2%
o 24
 
7.5%
s 19
 
6.0%
r 19
 
6.0%
n 19
 
6.0%
a 16
 
5.0%
t 13
 
4.1%
p 9
 
2.8%
Other values (31) 102
32.1%

Violation Points - 21
Categorical

High correlation  Missing 

Distinct3
Distinct (%)60.0%
Missing1561
Missing (%)99.7%
Memory size98.0 KiB
1.0
2.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 3
 
0.2%
2.0 1
 
0.1%
3.0 1
 
0.1%
(Missing) 1561
99.7%

Length

2025-04-14T23:20:46.044360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:46.109923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3
60.0%
2.0 1
 
20.0%
3.0 1
 
20.0%

Most occurring characters

ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
1 3
20.0%
2 1
 
6.7%
3 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
1 3
20.0%
2 1
 
6.7%
3 1
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
1 3
20.0%
2 1
 
6.7%
3 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 15
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
1 3
20.0%
2 1
 
6.7%
3 1
 
6.7%

Violation Detail - 21
Text

Missing 

Distinct5
Distinct (%)100.0%
Missing1561
Missing (%)99.7%
Memory size51.0 KiB
2025-04-14T23:20:46.397907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length592
Median length300
Mean length369.2
Min length205

Characters and Unicode

Total characters1846
Distinct characters58
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (h) Cleaning of Plumbing Fixtures. Plumbing fixtures such as handwashing sinks, toilets, and urinals shall be cleaned as often as necessary to keep them clean.
2nd row228.32 Management and Personnel. Knowledge. Based on the risks inherent to the food operation, during inspections and upon request the person in charge shall demonstrate to the regulatory authority knowledge of foodborne disease prevention, application of the Hazard Analysis Critical Control Point principles, and the requirements of this rule. The person in charge shall demonstrate this knowledge by: (2) being a certified food protection manager who has shown proficiency of required information through passing a test that is part of an Accredited Program; or
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
4th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (2) in food that is not time/temperature controlled for safety (TCS) with their handles above the top of the food within containers or equipment that can be closed, such as bins of sugar, flour, or cinnamon;
5th row228.75 Food. Time and temperature control. (d) Cooling. (1) Cooked temperature/time controlled for safety food shall be cooled: (B) within a total of six hours, from 57 degrees Celsius (135 degrees Fahrenheit) to 5 degrees Celsius (41 degrees Fahrenheit) or less.
ValueCountFrequency (%)
the 10
 
4.0%
and 9
 
3.6%
of 9
 
3.6%
food 9
 
3.6%
shall 6
 
2.4%
be 5
 
2.0%
in 5
 
2.0%
or 5
 
2.0%
fixtures 4
 
1.6%
as 4
 
1.6%
Other values (135) 184
73.6%
2025-04-14T23:20:46.827255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
377
20.4%
e 162
 
8.8%
i 112
 
6.1%
s 109
 
5.9%
n 108
 
5.9%
o 107
 
5.8%
t 102
 
5.5%
a 94
 
5.1%
r 88
 
4.8%
l 57
 
3.1%
Other values (48) 530
28.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1846
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
377
20.4%
e 162
 
8.8%
i 112
 
6.1%
s 109
 
5.9%
n 108
 
5.9%
o 107
 
5.8%
t 102
 
5.5%
a 94
 
5.1%
r 88
 
4.8%
l 57
 
3.1%
Other values (48) 530
28.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1846
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
377
20.4%
e 162
 
8.8%
i 112
 
6.1%
s 109
 
5.9%
n 108
 
5.9%
o 107
 
5.8%
t 102
 
5.5%
a 94
 
5.1%
r 88
 
4.8%
l 57
 
3.1%
Other values (48) 530
28.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1846
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
377
20.4%
e 162
 
8.8%
i 112
 
6.1%
s 109
 
5.9%
n 108
 
5.9%
o 107
 
5.8%
t 102
 
5.5%
a 94
 
5.1%
r 88
 
4.8%
l 57
 
3.1%
Other values (48) 530
28.7%

Violation Memo - 21
Text

Missing 

Distinct4
Distinct (%)100.0%
Missing1562
Missing (%)99.7%
Memory size49.3 KiB
2025-04-14T23:20:47.005566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length49
Median length43
Mean length41.75
Min length32

Characters and Unicode

Total characters167
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st rowRepair urinals in men's restroom
2nd rowNo one has a food manager certification on site.
3rd rowuse utensils with handle to scoop food
4th rowGreen salsa at 89F after 6 hrs, improper cooling.
ValueCountFrequency (%)
food 2
 
6.7%
urinals 1
 
3.3%
in 1
 
3.3%
men's 1
 
3.3%
repair 1
 
3.3%
restroom 1
 
3.3%
no 1
 
3.3%
has 1
 
3.3%
one 1
 
3.3%
a 1
 
3.3%
Other values (19) 19
63.3%
2025-04-14T23:20:47.272524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
15.6%
o 16
 
9.6%
e 14
 
8.4%
s 12
 
7.2%
a 12
 
7.2%
n 11
 
6.6%
r 11
 
6.6%
i 11
 
6.6%
t 9
 
5.4%
l 5
 
3.0%
Other values (19) 40
24.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 167
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
26
15.6%
o 16
 
9.6%
e 14
 
8.4%
s 12
 
7.2%
a 12
 
7.2%
n 11
 
6.6%
r 11
 
6.6%
i 11
 
6.6%
t 9
 
5.4%
l 5
 
3.0%
Other values (19) 40
24.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 167
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
26
15.6%
o 16
 
9.6%
e 14
 
8.4%
s 12
 
7.2%
a 12
 
7.2%
n 11
 
6.6%
r 11
 
6.6%
i 11
 
6.6%
t 9
 
5.4%
l 5
 
3.0%
Other values (19) 40
24.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 167
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
26
15.6%
o 16
 
9.6%
e 14
 
8.4%
s 12
 
7.2%
a 12
 
7.2%
n 11
 
6.6%
r 11
 
6.6%
i 11
 
6.6%
t 9
 
5.4%
l 5
 
3.0%
Other values (19) 40
24.0%
Distinct3
Distinct (%)100.0%
Missing1563
Missing (%)99.8%
Memory size49.3 KiB
2025-04-14T23:20:47.421409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length50
Median length49
Mean length48.666667
Min length47

Characters and Unicode

Total characters146
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row*24 Food Labeling- with common name of the food
2nd row*47 Conditions of Permit-in use of food equipment
3rd row*24 Food Label- manufacture/packer/distrubtor name
ValueCountFrequency (%)
food 4
18.2%
of 3
13.6%
24 2
 
9.1%
name 2
 
9.1%
labeling 1
 
4.5%
common 1
 
4.5%
with 1
 
4.5%
the 1
 
4.5%
47 1
 
4.5%
conditions 1
 
4.5%
Other values (5) 5
22.7%
2025-04-14T23:20:47.656466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
13.0%
o 16
 
11.0%
e 11
 
7.5%
n 9
 
6.2%
i 8
 
5.5%
t 8
 
5.5%
m 7
 
4.8%
a 7
 
4.8%
d 6
 
4.1%
f 6
 
4.1%
Other values (22) 49
33.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 146
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
19
 
13.0%
o 16
 
11.0%
e 11
 
7.5%
n 9
 
6.2%
i 8
 
5.5%
t 8
 
5.5%
m 7
 
4.8%
a 7
 
4.8%
d 6
 
4.1%
f 6
 
4.1%
Other values (22) 49
33.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 146
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
19
 
13.0%
o 16
 
11.0%
e 11
 
7.5%
n 9
 
6.2%
i 8
 
5.5%
t 8
 
5.5%
m 7
 
4.8%
a 7
 
4.8%
d 6
 
4.1%
f 6
 
4.1%
Other values (22) 49
33.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 146
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
19
 
13.0%
o 16
 
11.0%
e 11
 
7.5%
n 9
 
6.2%
i 8
 
5.5%
t 8
 
5.5%
m 7
 
4.8%
a 7
 
4.8%
d 6
 
4.1%
f 6
 
4.1%
Other values (22) 49
33.6%

Violation Points - 22
Categorical

High correlation  Missing 

Distinct2
Distinct (%)66.7%
Missing1563
Missing (%)99.8%
Memory size98.0 KiB
2.0
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row2.0
2nd row1.0
3rd row2.0

Common Values

ValueCountFrequency (%)
2.0 2
 
0.1%
1.0 1
 
0.1%
(Missing) 1563
99.8%

Length

2025-04-14T23:20:47.759793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:47.821557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2.0 2
66.7%
1.0 1
33.3%

Most occurring characters

ValueCountFrequency (%)
. 3
33.3%
0 3
33.3%
2 2
22.2%
1 1
 
11.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 3
33.3%
0 3
33.3%
2 2
22.2%
1 1
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 3
33.3%
0 3
33.3%
2 2
22.2%
1 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 3
33.3%
0 3
33.3%
2 2
22.2%
1 1
 
11.1%

Violation Detail - 22
Text

Missing 

Distinct3
Distinct (%)100.0%
Missing1563
Missing (%)99.8%
Memory size50.1 KiB
2025-04-14T23:20:48.016405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length521
Median length217
Mean length311
Min length195

Characters and Unicode

Total characters933
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;
2nd row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
3rd row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (D) the name and place of business of the manufacturer, packer, or distributor; and
ValueCountFrequency (%)
the 12
 
9.4%
a 7
 
5.5%
of 7
 
5.5%
food 6
 
4.7%
permit 4
 
3.1%
or 4
 
3.1%
to 3
 
2.4%
name 3
 
2.4%
by 3
 
2.4%
shall 3
 
2.4%
Other values (56) 75
59.1%
2025-04-14T23:20:48.350130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
240
25.7%
e 70
 
7.5%
t 65
 
7.0%
o 63
 
6.8%
a 52
 
5.6%
i 46
 
4.9%
n 44
 
4.7%
r 37
 
4.0%
s 35
 
3.8%
l 31
 
3.3%
Other values (32) 250
26.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 933
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
240
25.7%
e 70
 
7.5%
t 65
 
7.0%
o 63
 
6.8%
a 52
 
5.6%
i 46
 
4.9%
n 44
 
4.7%
r 37
 
4.0%
s 35
 
3.8%
l 31
 
3.3%
Other values (32) 250
26.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 933
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
240
25.7%
e 70
 
7.5%
t 65
 
7.0%
o 63
 
6.8%
a 52
 
5.6%
i 46
 
4.9%
n 44
 
4.7%
r 37
 
4.0%
s 35
 
3.8%
l 31
 
3.3%
Other values (32) 250
26.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 933
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
240
25.7%
e 70
 
7.5%
t 65
 
7.0%
o 63
 
6.8%
a 52
 
5.6%
i 46
 
4.9%
n 44
 
4.7%
r 37
 
4.0%
s 35
 
3.8%
l 31
 
3.3%
Other values (32) 250
26.8%

Violation Memo - 22
Text

Missing 

Distinct3
Distinct (%)100.0%
Missing1563
Missing (%)99.8%
Memory size49.3 KiB
2025-04-14T23:20:48.524582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length75
Median length34
Mean length44.333333
Min length24

Characters and Unicode

Total characters133
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowLabel all packaged food.
2nd rowPOST SIGN THAT STATES: MOST RECENT HEALTH REPORT IS AVAILABLE UPON REQUEST.
3rd rowprovide manufacture name for salsa
ValueCountFrequency (%)
label 1
 
4.8%
all 1
 
4.8%
packaged 1
 
4.8%
food 1
 
4.8%
post 1
 
4.8%
sign 1
 
4.8%
that 1
 
4.8%
states 1
 
4.8%
most 1
 
4.8%
recent 1
 
4.8%
Other values (11) 11
52.4%
2025-04-14T23:20:48.794476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
13.5%
T 10
 
7.5%
a 9
 
6.8%
E 8
 
6.0%
S 7
 
5.3%
A 6
 
4.5%
e 5
 
3.8%
L 4
 
3.0%
O 4
 
3.0%
o 4
 
3.0%
Other values (30) 58
43.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 133
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
18
 
13.5%
T 10
 
7.5%
a 9
 
6.8%
E 8
 
6.0%
S 7
 
5.3%
A 6
 
4.5%
e 5
 
3.8%
L 4
 
3.0%
O 4
 
3.0%
o 4
 
3.0%
Other values (30) 58
43.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 133
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
18
 
13.5%
T 10
 
7.5%
a 9
 
6.8%
E 8
 
6.0%
S 7
 
5.3%
A 6
 
4.5%
e 5
 
3.8%
L 4
 
3.0%
O 4
 
3.0%
o 4
 
3.0%
Other values (30) 58
43.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 133
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
18
 
13.5%
T 10
 
7.5%
a 9
 
6.8%
E 8
 
6.0%
S 7
 
5.3%
A 6
 
4.5%
e 5
 
3.8%
L 4
 
3.0%
O 4
 
3.0%
o 4
 
3.0%
Other values (30) 58
43.6%

Violation Description - 23
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1565
Missing (%)99.9%
Memory size49.1 KiB
2025-04-14T23:20:48.943086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length42
Median length42
Mean length42
Min length42

Characters and Unicode

Total characters42
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row*28 Date marking > 24 hrs,on site,temp 41F
ValueCountFrequency (%)
28 1
12.5%
date 1
12.5%
marking 1
12.5%
1
12.5%
24 1
12.5%
hrs,on 1
12.5%
site,temp 1
12.5%
41f 1
12.5%
2025-04-14T23:20:49.193497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
16.7%
t 3
 
7.1%
e 3
 
7.1%
a 2
 
4.8%
r 2
 
4.8%
m 2
 
4.8%
2 2
 
4.8%
n 2
 
4.8%
, 2
 
4.8%
s 2
 
4.8%
Other values (13) 15
35.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
7
16.7%
t 3
 
7.1%
e 3
 
7.1%
a 2
 
4.8%
r 2
 
4.8%
m 2
 
4.8%
2 2
 
4.8%
n 2
 
4.8%
, 2
 
4.8%
s 2
 
4.8%
Other values (13) 15
35.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
7
16.7%
t 3
 
7.1%
e 3
 
7.1%
a 2
 
4.8%
r 2
 
4.8%
m 2
 
4.8%
2 2
 
4.8%
n 2
 
4.8%
, 2
 
4.8%
s 2
 
4.8%
Other values (13) 15
35.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
7
16.7%
t 3
 
7.1%
e 3
 
7.1%
a 2
 
4.8%
r 2
 
4.8%
m 2
 
4.8%
2 2
 
4.8%
n 2
 
4.8%
, 2
 
4.8%
s 2
 
4.8%
Other values (13) 15
35.7%

Violation Points - 23
Categorical

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1565
Missing (%)99.9%
Memory size98.0 KiB
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row2.0

Common Values

ValueCountFrequency (%)
2.0 1
 
0.1%
(Missing) 1565
99.9%

Length

2025-04-14T23:20:49.294029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:49.349684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
2 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 1
33.3%
. 1
33.3%
0 1
33.3%

Violation Detail - 23
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1565
Missing (%)99.9%
Memory size49.9 KiB
2025-04-14T23:20:49.555838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length815
Median length815
Mean length815
Min length815

Characters and Unicode

Total characters815
Distinct characters44
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
ValueCountFrequency (%)
the 10
 
7.6%
food 8
 
6.1%
and 5
 
3.8%
in 4
 
3.1%
a 4
 
3.1%
temperature 3
 
2.3%
time 3
 
2.3%
day 3
 
2.3%
or 3
 
2.3%
is 3
 
2.3%
Other values (61) 85
64.9%
2025-04-14T23:20:49.894682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
19.4%
e 83
 
10.2%
a 55
 
6.7%
t 51
 
6.3%
o 49
 
6.0%
d 41
 
5.0%
r 40
 
4.9%
i 40
 
4.9%
s 38
 
4.7%
n 35
 
4.3%
Other values (34) 225
27.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 815
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
158
19.4%
e 83
 
10.2%
a 55
 
6.7%
t 51
 
6.3%
o 49
 
6.0%
d 41
 
5.0%
r 40
 
4.9%
i 40
 
4.9%
s 38
 
4.7%
n 35
 
4.3%
Other values (34) 225
27.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 815
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
158
19.4%
e 83
 
10.2%
a 55
 
6.7%
t 51
 
6.3%
o 49
 
6.0%
d 41
 
5.0%
r 40
 
4.9%
i 40
 
4.9%
s 38
 
4.7%
n 35
 
4.3%
Other values (34) 225
27.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 815
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
158
19.4%
e 83
 
10.2%
a 55
 
6.7%
t 51
 
6.3%
o 49
 
6.0%
d 41
 
5.0%
r 40
 
4.9%
i 40
 
4.9%
s 38
 
4.7%
n 35
 
4.3%
Other values (34) 225
27.6%

Violation Memo - 23
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1565
Missing (%)99.9%
Memory size49.1 KiB
2025-04-14T23:20:50.039753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length42
Median length42
Mean length42
Min length42

Characters and Unicode

Total characters42
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowclearly date mark TCS food for 7 days only
ValueCountFrequency (%)
clearly 1
11.1%
date 1
11.1%
mark 1
11.1%
tcs 1
11.1%
food 1
11.1%
for 1
11.1%
7 1
11.1%
days 1
11.1%
only 1
11.1%
2025-04-14T23:20:50.284313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
19.0%
a 4
9.5%
o 4
9.5%
d 3
 
7.1%
y 3
 
7.1%
l 3
 
7.1%
r 3
 
7.1%
f 2
 
4.8%
e 2
 
4.8%
c 1
 
2.4%
Other values (9) 9
21.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8
19.0%
a 4
9.5%
o 4
9.5%
d 3
 
7.1%
y 3
 
7.1%
l 3
 
7.1%
r 3
 
7.1%
f 2
 
4.8%
e 2
 
4.8%
c 1
 
2.4%
Other values (9) 9
21.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8
19.0%
a 4
9.5%
o 4
9.5%
d 3
 
7.1%
y 3
 
7.1%
l 3
 
7.1%
r 3
 
7.1%
f 2
 
4.8%
e 2
 
4.8%
c 1
 
2.4%
Other values (9) 9
21.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8
19.0%
a 4
9.5%
o 4
9.5%
d 3
 
7.1%
y 3
 
7.1%
l 3
 
7.1%
r 3
 
7.1%
f 2
 
4.8%
e 2
 
4.8%
c 1
 
2.4%
Other values (9) 9
21.4%

Violation Description - 24
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1565
Missing (%)99.9%
Memory size49.1 KiB
2025-04-14T23:20:50.423240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row*45 Drying Mops-air dry
ValueCountFrequency (%)
45 1
25.0%
drying 1
25.0%
mops-air 1
25.0%
dry 1
25.0%
2025-04-14T23:20:50.653109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
13.0%
r 3
13.0%
y 2
 
8.7%
i 2
 
8.7%
* 1
 
4.3%
D 1
 
4.3%
5 1
 
4.3%
4 1
 
4.3%
n 1
 
4.3%
g 1
 
4.3%
Other values (7) 7
30.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3
13.0%
r 3
13.0%
y 2
 
8.7%
i 2
 
8.7%
* 1
 
4.3%
D 1
 
4.3%
5 1
 
4.3%
4 1
 
4.3%
n 1
 
4.3%
g 1
 
4.3%
Other values (7) 7
30.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3
13.0%
r 3
13.0%
y 2
 
8.7%
i 2
 
8.7%
* 1
 
4.3%
D 1
 
4.3%
5 1
 
4.3%
4 1
 
4.3%
n 1
 
4.3%
g 1
 
4.3%
Other values (7) 7
30.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3
13.0%
r 3
13.0%
y 2
 
8.7%
i 2
 
8.7%
* 1
 
4.3%
D 1
 
4.3%
5 1
 
4.3%
4 1
 
4.3%
n 1
 
4.3%
g 1
 
4.3%
Other values (7) 7
30.4%

Violation Points - 24
Categorical

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1565
Missing (%)99.9%
Memory size98.0 KiB
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1.0

Common Values

ValueCountFrequency (%)
1.0 1
 
0.1%
(Missing) 1565
99.9%

Length

2025-04-14T23:20:50.750337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:50.805372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Violation Detail - 24
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1565
Missing (%)99.9%
Memory size49.4 KiB
2025-04-14T23:20:50.960416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length268
Median length268
Mean length268
Min length268

Characters and Unicode

Total characters268
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (f) Drying mops. After use, mops shall be placed in a position that allows them to air-dry without soiling walls, equipment, or supplies.
ValueCountFrequency (%)
equipment 2
 
5.7%
mops 2
 
5.7%
228.186 1
 
2.9%
premises 1
 
2.9%
physical 1
 
2.9%
buildings 1
 
2.9%
systems 1
 
2.9%
rooms 1
 
2.9%
facilities 1
 
2.9%
fixtures 1
 
2.9%
Other values (23) 23
65.7%
2025-04-14T23:20:51.266061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
20.1%
s 22
 
8.2%
i 21
 
7.8%
e 18
 
6.7%
t 14
 
5.2%
l 13
 
4.9%
a 12
 
4.5%
o 11
 
4.1%
, 10
 
3.7%
r 9
 
3.4%
Other values (27) 84
31.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 268
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
54
20.1%
s 22
 
8.2%
i 21
 
7.8%
e 18
 
6.7%
t 14
 
5.2%
l 13
 
4.9%
a 12
 
4.5%
o 11
 
4.1%
, 10
 
3.7%
r 9
 
3.4%
Other values (27) 84
31.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 268
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
54
20.1%
s 22
 
8.2%
i 21
 
7.8%
e 18
 
6.7%
t 14
 
5.2%
l 13
 
4.9%
a 12
 
4.5%
o 11
 
4.1%
, 10
 
3.7%
r 9
 
3.4%
Other values (27) 84
31.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 268
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
54
20.1%
s 22
 
8.2%
i 21
 
7.8%
e 18
 
6.7%
t 14
 
5.2%
l 13
 
4.9%
a 12
 
4.5%
o 11
 
4.1%
, 10
 
3.7%
r 9
 
3.4%
Other values (27) 84
31.3%

Violation Memo - 24
Text

Constant  Missing 

Distinct1
Distinct (%)100.0%
Missing1565
Missing (%)99.9%
Memory size49.1 KiB
2025-04-14T23:20:51.410306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowmops need dry
ValueCountFrequency (%)
mops 1
33.3%
need 1
33.3%
dry 1
33.3%
2025-04-14T23:20:51.629453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2
15.4%
2
15.4%
d 2
15.4%
m 1
7.7%
o 1
7.7%
p 1
7.7%
n 1
7.7%
s 1
7.7%
r 1
7.7%
y 1
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 2
15.4%
2
15.4%
d 2
15.4%
m 1
7.7%
o 1
7.7%
p 1
7.7%
n 1
7.7%
s 1
7.7%
r 1
7.7%
y 1
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 2
15.4%
2
15.4%
d 2
15.4%
m 1
7.7%
o 1
7.7%
p 1
7.7%
n 1
7.7%
s 1
7.7%
r 1
7.7%
y 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 2
15.4%
2
15.4%
d 2
15.4%
m 1
7.7%
o 1
7.7%
p 1
7.7%
n 1
7.7%
s 1
7.7%
r 1
7.7%
y 1
7.7%

Violation Description - 25
Unsupported

Missing  Rejected  Unsupported 

Missing1566
Missing (%)100.0%
Memory size12.4 KiB

Violation Points - 25
Unsupported

Missing  Rejected  Unsupported 

Missing1566
Missing (%)100.0%
Memory size12.4 KiB

Violation Detail - 25
Unsupported

Missing  Rejected  Unsupported 

Missing1566
Missing (%)100.0%
Memory size12.4 KiB

Violation Memo - 25
Unsupported

Missing  Rejected  Unsupported 

Missing1566
Missing (%)100.0%
Memory size12.4 KiB

Inspection Month
Categorical

High correlation 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size99.5 KiB
Jan 2024
975 
Feb 2024
591 

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters12528
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJan 2024
2nd rowFeb 2024
3rd rowJan 2024
4th rowFeb 2024
5th rowJan 2024

Common Values

ValueCountFrequency (%)
Jan 2024 975
62.3%
Feb 2024 591
37.7%

Length

2025-04-14T23:20:51.727710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:51.793492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2024 1566
50.0%
jan 975
31.1%
feb 591
 
18.9%

Most occurring characters

ValueCountFrequency (%)
2 3132
25.0%
1566
12.5%
0 1566
12.5%
4 1566
12.5%
a 975
 
7.8%
J 975
 
7.8%
n 975
 
7.8%
F 591
 
4.7%
e 591
 
4.7%
b 591
 
4.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12528
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 3132
25.0%
1566
12.5%
0 1566
12.5%
4 1566
12.5%
a 975
 
7.8%
J 975
 
7.8%
n 975
 
7.8%
F 591
 
4.7%
e 591
 
4.7%
b 591
 
4.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12528
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 3132
25.0%
1566
12.5%
0 1566
12.5%
4 1566
12.5%
a 975
 
7.8%
J 975
 
7.8%
n 975
 
7.8%
F 591
 
4.7%
e 591
 
4.7%
b 591
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12528
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 3132
25.0%
1566
12.5%
0 1566
12.5%
4 1566
12.5%
a 975
 
7.8%
J 975
 
7.8%
n 975
 
7.8%
F 591
 
4.7%
e 591
 
4.7%
b 591
 
4.7%

Inspection Year
Categorical

Constant 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size96.5 KiB
FY2024
1566 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters9396
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFY2024
2nd rowFY2024
3rd rowFY2024
4th rowFY2024
5th rowFY2024

Common Values

ValueCountFrequency (%)
FY2024 1566
100.0%

Length

2025-04-14T23:20:51.873913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T23:20:51.932229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
fy2024 1566
100.0%

Most occurring characters

ValueCountFrequency (%)
2 3132
33.3%
F 1566
16.7%
Y 1566
16.7%
0 1566
16.7%
4 1566
16.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9396
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 3132
33.3%
F 1566
16.7%
Y 1566
16.7%
0 1566
16.7%
4 1566
16.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9396
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 3132
33.3%
F 1566
16.7%
Y 1566
16.7%
0 1566
16.7%
4 1566
16.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9396
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 3132
33.3%
F 1566
16.7%
Y 1566
16.7%
0 1566
16.7%
4 1566
16.7%
Distinct1356
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size126.6 KiB
2025-04-14T23:20:52.205478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length68
Median length59
Mean length25.675607
Min length11

Characters and Unicode

Total characters40208
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1225 ?
Unique (%)78.2%

Sample

1st row510 S BECKLEY AVE
2nd row10601 PLANO RD
3rd row2902 S BUCKNER BLVD #300
4th row6186 RETAIL RD #200
5th row9334 E RL THRONTON FRWY #L-4
ValueCountFrequency (%)
rd 510
 
7.3%
ln 212
 
3.0%
ave 205
 
2.9%
w 203
 
2.9%
s 170
 
2.4%
blvd 163
 
2.3%
st 146
 
2.1%
n 119
 
1.7%
e 91
 
1.3%
dr 77
 
1.1%
Other values (1976) 5132
73.0%
2025-04-14T23:20:52.701506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5111
 
12.7%
1 2181
 
5.4%
0 2084
 
5.2%
R 1766
 
4.4%
E 1681
 
4.2%
2 1616
 
4.0%
3 1548
 
3.8%
L 1486
 
3.7%
9 1406
 
3.5%
N 1386
 
3.4%
Other values (33) 19943
49.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 40208
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5111
 
12.7%
1 2181
 
5.4%
0 2084
 
5.2%
R 1766
 
4.4%
E 1681
 
4.2%
2 1616
 
4.0%
3 1548
 
3.8%
L 1486
 
3.7%
9 1406
 
3.5%
N 1386
 
3.4%
Other values (33) 19943
49.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 40208
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5111
 
12.7%
1 2181
 
5.4%
0 2084
 
5.2%
R 1766
 
4.4%
E 1681
 
4.2%
2 1616
 
4.0%
3 1548
 
3.8%
L 1486
 
3.7%
9 1406
 
3.5%
N 1386
 
3.4%
Other values (33) 19943
49.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 40208
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5111
 
12.7%
1 2181
 
5.4%
0 2084
 
5.2%
R 1766
 
4.4%
E 1681
 
4.2%
2 1616
 
4.0%
3 1548
 
3.8%
L 1486
 
3.7%
9 1406
 
3.5%
N 1386
 
3.4%
Other values (33) 19943
49.6%

Interactions

2025-04-14T23:19:37.378177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:19:37.072947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:19:37.527380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T23:19:37.211565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-04-14T23:20:52.910813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Inspection DateInspection MonthInspection ScoreInspection TypeStreet DirectionStreet NumberStreet TypeViolation Points - 1Violation Points - 10Violation Points - 11Violation Points - 12Violation Points - 13Violation Points - 14Violation Points - 15Violation Points - 16Violation Points - 17Violation Points - 18Violation Points - 19Violation Points - 2Violation Points - 20Violation Points - 21Violation Points - 22Violation Points - 3Violation Points - 4Violation Points - 5Violation Points - 6Violation Points - 7Violation Points - 8Violation Points - 9
Inspection Date1.0000.9850.0710.1160.3000.2460.2020.1260.1230.2590.1660.0000.0000.0000.0000.0000.5070.0000.0920.0000.0001.0000.0860.0760.0000.0000.0000.0000.000
Inspection Month0.9851.0000.0600.0000.0610.0600.1650.0000.0000.0000.0880.1830.0850.2960.0340.1410.0000.0000.0250.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Inspection Score0.0710.0601.0000.1210.0970.0180.0670.2650.0900.0870.1860.0000.1390.0000.0000.1800.0000.3160.3930.0000.0001.0000.3400.3110.2770.2860.2420.1660.183
Inspection Type0.1160.0000.1211.0000.0700.0220.0000.0000.0000.0000.0000.0000.3100.0000.0000.0001.0001.0000.0601.0001.0001.0000.0000.0840.0370.1980.0460.0320.050
Street Direction0.3000.0610.0970.0701.0000.2660.4870.0690.0980.0000.0350.4370.0000.1830.6000.1920.5770.7070.0031.0001.0001.0000.0500.0000.1090.0000.0360.0000.120
Street Number0.2460.0600.0180.0220.2661.0000.2790.0860.0000.0000.0000.0670.0000.0000.0000.2410.0000.7290.0740.8160.0001.0000.0440.0220.0620.0000.0250.0410.000
Street Type0.2020.1650.0670.0000.4870.2791.0000.0320.1290.0000.1690.2180.0000.2540.1660.0000.0000.6320.0571.0001.0001.0000.0000.0730.0000.0880.0730.1330.041
Violation Points - 10.1260.0000.2650.0000.0690.0860.0321.0000.2700.2350.1760.1700.3270.3340.1130.6910.3420.0000.2940.8160.0001.0000.1960.1610.1590.1920.1380.1790.224
Violation Points - 100.1230.0000.0900.0000.0980.0000.1290.2701.0000.1650.1100.0000.2600.0810.1920.2740.0000.0000.2610.0000.0001.0000.1720.1360.1200.1510.1100.2300.262
Violation Points - 110.2590.0000.0870.0000.0000.0000.0000.2350.1651.0000.1920.1590.1950.2620.0000.0000.4440.0000.2500.0000.0001.0000.2530.1720.1240.1500.1280.0160.128
Violation Points - 120.1660.0880.1860.0000.0350.0000.1690.1760.1100.1921.0000.2680.2860.0000.0000.1170.2990.0000.1490.0000.0001.0000.2720.2950.1950.1380.1050.1570.000
Violation Points - 130.0000.1830.0000.0000.4370.0670.2180.1700.0000.1590.2681.0000.2960.1960.0000.4040.4330.4120.1991.0001.0001.0000.2890.1450.3670.2350.2310.2600.215
Violation Points - 140.0000.0850.1390.3100.0000.0000.0000.3270.2600.1950.2860.2961.0000.2370.0000.4520.3950.0000.4040.0000.0000.0000.3610.2420.2440.1700.3250.3460.242
Violation Points - 150.0000.2960.0000.0000.1830.0000.2540.3340.0810.2620.0000.1960.2371.0000.4460.3580.0000.0000.3360.0000.0000.0000.3120.2380.1360.2230.3570.3660.183
Violation Points - 160.0000.0340.0000.0000.6000.0000.1660.1130.1920.0000.0000.0000.0000.4461.0000.2620.0000.3950.0000.3330.5771.0000.5300.2880.0000.1660.0000.2880.426
Violation Points - 170.0000.1410.1800.0000.1920.2410.0000.6910.2740.0000.1170.4040.4520.3580.2621.0000.2730.0000.3650.0000.0000.0000.5080.5340.4900.4310.5920.5630.476
Violation Points - 180.5070.0000.0001.0000.5770.0000.0000.3420.0000.4440.2990.4330.3950.0000.0000.2731.0000.5000.3720.3470.8160.0000.4890.3420.2450.3960.2520.0000.632
Violation Points - 190.0000.0000.3161.0000.7070.7290.6320.0000.0000.0000.0000.4120.0000.0000.3950.0000.5001.0000.0000.3470.8160.0000.5000.0000.0000.0000.3540.0000.000
Violation Points - 20.0920.0250.3930.0600.0030.0740.0570.2940.2610.2500.1490.1990.4040.3360.0000.3650.3720.0001.0000.8160.0001.0000.2690.1990.1650.1660.1500.1470.236
Violation Points - 200.0000.0000.0001.0001.0000.8161.0000.8160.0000.0000.0001.0000.0000.0000.3330.0000.3470.3470.8161.0000.8160.0000.3470.8160.8160.0000.8160.0000.000
Violation Points - 210.0000.0000.0001.0001.0000.0001.0000.0000.0000.0000.0001.0000.0000.0000.5770.0000.8160.8160.0000.8161.0000.0000.8160.0000.0000.0001.0000.0000.000
Violation Points - 221.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.0001.0000.0000.0000.0001.0000.0000.0001.0000.0001.0000.0000.0000.0000.0000.000
Violation Points - 30.0860.0000.3400.0000.0500.0440.0000.1960.1720.2530.2720.2890.3610.3120.5300.5080.4890.5000.2690.3470.8160.0001.0000.2500.1480.2270.1760.1870.168
Violation Points - 40.0760.0000.3110.0840.0000.0220.0730.1610.1360.1720.2950.1450.2420.2380.2880.5340.3420.0000.1990.8160.0001.0000.2501.0000.2260.1690.1810.1520.232
Violation Points - 50.0000.0000.2770.0370.1090.0620.0000.1590.1200.1240.1950.3670.2440.1360.0000.4900.2450.0000.1650.8160.0000.0000.1480.2261.0000.2400.1910.1660.185
Violation Points - 60.0000.0000.2860.1980.0000.0000.0880.1920.1510.1500.1380.2350.1700.2230.1660.4310.3960.0000.1660.0000.0000.0000.2270.1690.2401.0000.2160.1250.065
Violation Points - 70.0000.0000.2420.0460.0360.0250.0730.1380.1100.1280.1050.2310.3250.3570.0000.5920.2520.3540.1500.8161.0000.0000.1760.1810.1910.2161.0000.2210.096
Violation Points - 80.0000.0000.1660.0320.0000.0410.1330.1790.2300.0160.1570.2600.3460.3660.2880.5630.0000.0000.1470.0000.0000.0000.1870.1520.1660.1250.2211.0000.199
Violation Points - 90.0000.0000.1830.0500.1200.0000.0410.2240.2620.1280.0000.2150.2420.1830.4260.4760.6320.0000.2360.0000.0000.0000.1680.2320.1850.0650.0960.1991.000

Missing values

2025-04-14T23:19:38.195591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-04-14T23:19:39.499518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-04-14T23:19:43.442002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
0WENDY'S #79710Routine2024-01-0897510BECKLEYSAVENaN510 S BECKLEY AVE75203-2644*24 Food Labeling- with common name of the food2.0228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;Label ketchup/condiment dispensers in lobby for customer self service*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Clean wire racks in walk-in coolerNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY2024510 S BECKLEY AVE
1GOLD CLUB BARRoutine2024-02-2810010601PLANONaNRDNaN10601 PLANO RD75238NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY202410601 PLANO RD
2LA VICTORIA ADULT DAY CARE CENTER #12Routine2024-01-02932902BUCKNERSBLVD#3002902 S BUCKNER BLVD #30075227*32 Equipment and Utensils Durability and Strength2.0228.103 Equipment, Utensils, and Linens. Durability and strength. (a) Equipment and utensils. Equipment and utensils shall be designed and constructed to be durable and to retain their characteristic qualities under normal use conditions.provide commercial cooler/freezer for customer food*34 Outer openings:closing holes, gaps1.0228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (A) filling or closing holes and other gaps along floors, walls and ceilings;repair gap at entrance door*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andclearly date mark tcs food for 7 days*47 Health permit posted1.0SEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (11) Display. A food establishment that operates from a fixed facility shall display its permit in a frame with a glass cover at a prominent place inside the facility where it can be easily seen by the public.change name of establishment on health permit*46 Enclosed toilet room w/self closing doors1.0228.174 Physical Facilities. Functionality. (d) A toilet room located on the premises shall be completely enclosed and provided with a tight-fitting and self-closing door except that this requirement does not apply to a toilet room that is located outside a food establishment and does not open directly into the food establishment such as a toilet room that is provided by the management of a shopping mall.restroom door shall be closedNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20242902 S BUCKNER BLVD #300
3MCALISTER'S DELIRoutine2024-02-27996186RETAILNaNRD#2006186 RETAIL RD #20075039*39 Store all equipment & utensil covered or inverted1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.Invert to go containers.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20246186 RETAIL RD #200
4KILO'S PECANSRoutine2024-01-08829334RL THRONTONEFRWY#L-49334 E RL THRONTON FRWY #L-475228*39 Store equipment & utensils - avoid contamination1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (B) where they are not exposed to splash, dust, or other contamination; andutensils should not be in mop sink*33 Service sink or one curbed cleaning facility provided2.0228.147 Water, Plumbing, and Waste. Plumbing, numbers and capacities. (c) Service sink. (1) At least one service sink or one curbed cleaning facility equipped with a floor drain shall be provided and conveniently located for the cleaning of mops or similar wet floor cleaning tools and for the disposal of mop water and similar liquid waste.items can not be placed in mop sink*24 Food Label- manufacture/packer/distrubtor name2.0228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (D) the name and place of business of the manufacturer, packer, or distributor; andseeds*10 Chlorine sanitizer concentration, minimum temp.3.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (n) Manual and mechanical warewashing equipment, chemical sanitization - temperature, pH, concentration, and hardness. A chemical sanitizer used in a sanitizing solution for a manual or mechanical operation at contact times specified in õ228.118(3) of this title shall meet the criteria in õ228.206(a) of this title, shall be used in accordance with the EPA-approved manufacturer's label use instructions, and shall be used as follows: (1) a chlorine solution shall have a minimum temperature based on the concentration and pH of the solution as listed in the following chart: Figure: 25 TAC õ228.111(n)(1)no sanitizer 0 ppm chlorine*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.co worker has no food handler*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andno date marking on items in ric*47 Conditions of Permit-in use of food equipment1.0228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.provide sign about inspection report*36 Containers of chemical sanitizing solutions stored off the floor and used in a manner that preve1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (5) containers of chemical sanitizing solutions specified in paragraph (2)(A) of this subsection in which wet wiping cloths are held between uses shall be stored off the floor and used in a manner that prevents contamination of food, equipment, utensils, linens, single-service, or single-use articles. .sanitizer bucket sit on floor*14 When to wash hands between raw and RTE foods3.0228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (7) when switching between working with raw food and working with ready-to eat food;did not wash hands after touching raw chicken*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.food needs to be 6 inches above groundNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20249334 E RL THRONTON FRWY #L-4
5CHURCH'S CHICKENRoutine2024-01-139710201C F HAWNNaNFRWYNaN10201 C F HAWN FRWY75217*29 Food thermometers provided and accessible2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (b) Food temperature measuring devices. Food temperature measuring devices shall be provided readily accessible for use in ensuring attainment and maintenance of food temperatures as specified under Subchapter C of this chapter (relating to Food).Thermometer in the walk in cooler is not reading properly*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean ice machine air filterNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY202410201 C F HAWN FRWY
6MCDONALDSRoutine2024-01-1698125CAMP WISDOMWRDNaN125 W CAMP WISDOM RD75232*32 Equipment & Utensils smooth easily cleanable2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; andReplace torn gasket in coffee stationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY2024125 W CAMP WISDOM RD\n(32.662836999, -96.824488024)
7EL RANCHO #14-PALAPARoutine2024-01-089514211COITNaNRDNaN14211 COIT RD75254*10 Q.A. PPM - follow manufacturer's direction3.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (n) Manual and mechanical warewashing equipment, chemical sanitization temperature, pH, concentration, and hardness. A chemical sanitizer used in a sanitizing solution for a manual or mechanical operation at contact times specified in õ228.118(3) of this title shall meet the criteria in õ228.206(a) of this title, shall be used in accordance with the EPA-approved manufacturer's label use instructions,P and shall be used as follows: (3) a quaternary ammonium compound solution shall: (B) have a concentration as specified under õ228.206 of this title (relating to Chemicals) and as indicated by the manufacturer's use directions included in the labeling; andMaintain sanitizer at 200 ppm QA*39 Keep utensils handles upright or protected1.0228.125 Preventing Contamination. (a) Kitchenware and tableware. (2) Knives, forks, and spoons that are not prewrapped shall be presented so that only the handles are touched by employees and by consumers if consumer self-service is provided.Do not allow ice scoop handle to contact ice.*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Clean WIC compressor vents and cooler gaskets.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY202414211 COIT RD\n(42.890052771, -78.843038285)
8YOGI'S SUSHI OF SPORTSRoutine2024-01-19949440GARLANDNaNRD#1309440 GARLAND RD #13075218*09 Food protected cross contamination arrange each type food in equipment so cross is prevented3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; andraw eggs on bottom shelf of cooler*31 Handwashing lavatory - allow convenient2.0228.148 Water, Plumbing, and Waste. Plumbing, location and placement. (a) Handwashing facility. Handwashing facilities shall be located: (1) to allow convenient use by employees in food preparation, food dispensing, and warewashing areas; andhand sink at sushi bar*47 Handwashing signage1.0228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.need hand washing signs at hand sinksNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20249440 GARLAND RD #130
9DOMINO'S PIZZA #6916Routine2024-02-21923312BUCKNERNBLVDNaN3312 N BUCKNER BLVD75228*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.RFSM not on site*18 Toxic items labeling-non original container3.0228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.spray bottle in bucket not properly identified, shall label content*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and3 comp sink observed a leak from bottom sideNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20243312 N BUCKNER BLVD
Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
1556T BAR M RAQUET CLUBRoutine2024-01-29906060DILBECKNaNLNNaN6060 DILBECK LN75240*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.Provide up-to-date Food Handler Certificates*32 Equipment & Utensils smooth easily cleanable2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; andReplace rusted WIC shelves*37 Food protected from cross contamination by storing the food in packages, covered containers, or1.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (D) except as specified in õ228.75(e)(2)(B) of this title and paragraph (2) of this subsection, storing the food in packages, covered containers, or wrappings;Cover all food in pantry and raw beef patties in freezer*39 Store all equipment & utensil covered or inverted1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (2) Clean equipment and utensils shall be stored as specified under paragraph (1) of this subsection and shall be stored: (B) covered or inverted.Invert all plates*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Replace water damaged ceiling tiles*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.Clean/replace rusted panel on ice machinesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20246060 DILBECK LN
1557LITTLE VEE'S BAR-BE-QUE & MORERoutine2024-01-24747620GREAT TRINITY FORESTNaNWAYNaN7620 GREAT TRINITY FOREST WAY75217*09 Food protected cross contamination separating types of raw animal food storage, preparation, hol3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (i) using separate equipment for each type; orobserved eggs on top shelves above tcs food*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; andobserved leaking water from faucet*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.rfsm missing on site*28 Date marking combined ingredients for RTE/ TCS food2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (3) A refrigerated, ready-to-eat TCS food ingredient or a portion of a refrigerated, ready-to-eat, TCS food that is subsequently combined with additional ingredients or portions of food shall retain the date marking of the earliest-prepared or first-prepared ingredientproperly date mark rte and tcs food*29 Sanitizing solutions, testing devices2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.missing test strips*31 No soap at handsink2.0228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.hand soap and paper towel missing*32 Smooth Contact Surfaces2.0228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (1) smooth;resurface the chop board or replace it*35 Jewelry Prohibition1.0228.40 Management and Personnel. Jewelry Prohibition. Except for a plain ring such as a wedding band, while preparing food, food employees may not wear jewelry including medical information jewelry on their arms and hands.observed employees wearing neck chains, need to be removed while cooking or handling food*41 Food Labeling - Bulk Food w/ Card or Sign1.0228.79 Food. Labeling. (a) Food labels. (3) Bulk food that is available for consumer self-dispensing shall be prominently labeled with the following information in plain view of the consumer: (B) a card, sign, or other method of notification that includes the information specified in paragraph (2)(A), (B), and (F) of this subsection.no labeling on bulk food container*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean inside the hot hold oven, clean the shelves*46 Toilet tissue, availability1.0228.176 Physical Facilities. Toilets and urinals. (b) Toilet tissue, availability. A supply of toilet tissue shall be available at each toilet.provide paper towels on restroom*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.food handler card missing*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.grease trap tickets needs to be on site (latest)*34 Pest control-routine inspections for1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (2) routinely inspecting the premises for evidence of pests;missing pest control receiptNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20247620 GREAT TRINITY FOREST WAY\n(32.712226986, -96.691076037)
1558TORTAS Y TACOS EL RANCHITO #1 (TO GO)Routine2024-01-19918017LAKE JUNENaNRD#F8017 LAKE JUNE RD #F75217*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.food manager certificate expired*18 Toxic items labeling-non original container3.0228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.provide label for chemical spray bottle and sanitizer bucket*39 Utensils, single serve items 6 inches off - floor1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (C) at least 15 centimeters (6 inches) above the floor.store utensils 6 inches off floor*43 Ventilation hood-prevent grease dripping1.0228.106 Equipment, Utensils, and Linens. Functionality of equipment. (a) Ventilation hood systems, drip prevention. Exhaust ventilation hood systems in food preparation and warewashing areas including components such as hoods, fans, guards, and ducting shall be designed to prevent grease or condensation from draining or dripping onto food, equipment, utensils, linens, and single-service and single-use articles.catch grease bucket*32 Damaged Equipment2.0228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;freezer-rusty exterior, cooler on front is damaged remove or repairNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20248017 LAKE JUNE RD #F\n(28.87547064, -81.512021105)
1559ORIGINAL CHOP SHOPRoutine2024-02-019611700PRESTONNaNRD#61211700 PRESTON RD #61275230*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.store food 6 inches off the floor (carrots in the walk in cooler)*42 Nonfood-contact surfaces material1.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (i) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment that are exposed to splash, spillage, or other food soiling or that require frequent cleaning shall be constructed of a corrosion-resistant, nonabsorbent, and smooth material.clean interior of the reach in cooler/freezer*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andDiscard food in the walk in cooler by use by dateNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY202411700 PRESTON RD #612
1560PAPA JOHNS PIZZARoutine2024-01-12951127BECKLEYNAVENaN1127 N BECKLEY AVE75203*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.Can opener blade observed w/ residue*37 Preventing contamination from other sources. Miscellaneous sources of Contamination1.0228.70 Food. Preventing contamination by consumers. (e) Preventing contamination from other sources. Miscellaneous sources of Contamination. Food shall be protected from contamination that may result from a factor or source not specified in õõ228.65 - 228.70 of this title.Due to residue on blade any other cans opened with can opener exposed to cross contamination*45Physical Facilities Floors,Walls,Ceilings1.0228.173 Physical Facilities. Floors, walls, and ceilings. (a) Cleanability. Except as specified under subsection (d) of this section, and except for antislip floor coverings or applications that may be used for safety reasons, the floors, floor coverings, walls, wall coverings, and ceilings shall be designed, constructed, and installed so they are smooth and easily cleanable,Fix broken base boards by prep coolerNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20241127 N BECKLEY AVE
1561WHOLE FOODS MARKET/BAKERYRoutine2024-02-09952118ABRAMSNaNRDNaN2118 ABRAMS RD75214*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; andfaucet leaking at prep sink*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.bag of sugar on floor- must be 6 inches or more off floor*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean off display case doors/ tracks, bunkersNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20242118 ABRAMS RD
1562FIESTA MART SEAFOODRoutine2024-02-09905334ROSSNaNAVENaN5334 ROSS AVE75204*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.RFSM not on site*32 Maintain in Good Repair2.0228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast . (h) Equipment and utensil design and construction. All equipment and utensils shall be constructed of safe materials and maintained in good repair.cutting board needs to be resurfaced from any damaged surfaces*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andwiping cloths need ti be in bucket between usages*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and3 comp sink is leaking from under side , needs to be repaired*39 Equipment-doors, seal hinges adjusted/intact1.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (a) Good repair and proper adjustment. (2) Equipment components such as doors, seals, hinges, fasteners, and kick plates shall be kept intact, tight, and adjusted in accordance with manufacturer's specifications.seal on the WIF needs to be repaired*47 Other Violations1.0NaNFood permit not displayedNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20245334 ROSS AVE
1563EL RIO GRANDE LATIN MARKET #10 (PRODUCE)Routine2024-02-08973035BUCKNERNBLVDNaN3035 N BUCKNER BLVD75228*31 Individual, disposable towels2.0228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;no paper towels at back hand sink (WIC/ prep area)*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean along bottom of display bunkers/ edgesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20243035 N BUCKNER BLVD
1564EL CHAROLAZO COMIDA MEXICANA CON SABORRoutine2024-02-098211200HARRY HINESNaNBLVD#WXZ11200 HARRY HINES BLVD #WXZ75229*09 Food protected cross contamination arrange each type food in equipment so cross is prevented3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; andobserved eggs stored above produce in ric*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.food manager was not onsite*29 Sanitizing solutions, testing devices2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.missing test strips*31 Heated air hand drying device2.0228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (3) a heated-air hand drying device.missing drying towel in both hand sinks*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andneed to store mop cloths in bucket*43 Light - 50 foot : Food and utensils area1.0228.177 Physical Facilities. Lighting, intensity. The light intensity shall be: (3) at least 540 lux (50 foot candles) at a surface where a food employee is working with food or working with utensils or equipment such as knives, slicers, grinders, or saws where employee safety is a factor.vent light is out*45Floor, wall, ceiling - Exposed material1.0(c) Floors, walls, and ceilings. (1) A food establishment containing a food handling area, food processing area, food preparation area, food storage area, equipment or utensil washing area, walk-in refrigerating unit, dressing room, locker room, toilet room, or vestibule shall: (C) prevent exposed construction in these areas, including but not limited to the exposure of pipes, conduits, ductwork, studs, joists, and rafters;need to repair ceiling gaps*15 Bare hands contact with ready-to-eat foods3.0228.65 Food. Preventing contamination by employees. (a) Preventing contamination from hands. (2) Except when washing fruits and vegetables as specified in õ228.66(e) of this title or as specified in paragraphs (4) and (5) of this subsection, food employees may not contact exposed, ready-to-eat food with their bare hands and shall use suitable utensils such as deli tissue, spatulas, tongs, single-use gloves, or dispensing equipment.need to wear gloves when handling cooked tortila*19 Backflow Prevention. The plumbing system shall preclude backflow of a solid, liquid, or gas cont3.0228.273 PRIVATE WATER SYSTEMS Backflow Prevention The plumbing system shall preclude backflow of a solid, liquid, or gas contaminant into the water supply system at each point of use, including on a hose bib, by: (2) installing an approved backflow prevention device that meets the American Society of Sanitary Engineering (ASSE) standards for construction, installation, maintenance, inspection, and testing for that specific application and type of device.need to repair leaking mop sinkNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY202411200 HARRY HINES BLVD #WXZ
1565PARSONS HOUSE PRESTON HOLLOWRoutine2024-01-22924205NORTHWESTWHWYNaN4205 W NORTHWEST HWY75220*09 Raw ready to eat - Food protected from cross contamination by separating, storage, preparation,3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (A) except as specified in subparagraph (A)(iii) of this paragraph,separating raw animal foods during storage, preparation, holding, and display from: (i) raw ready-to-eat food including other raw animal food such as fish for sushi or molluscan shellfish, or other raw ready-to-eat food such as vegetables; andcannot store raw food (bacon, eggs) above ready to eat food (veggies)*42 Nonfood-contact surfaces material1.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (i) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment that are exposed to splash, spillage, or other food soiling or that require frequent cleaning shall be constructed of a corrosion-resistant, nonabsorbent, and smooth material.clean the interior of the reach in cooler*16 Substitued pasteurized eggs/broken eggs....3.0228.82 Food. Additional safeguards, requirements for food establishments serving highly susceptible populations. Pasteurized foods and prohibited food. In a food establishment that serves a highly susceptible population: . (2) Pasteurized eggs, egg products. Pasteurized shell eggs or pasteurized liquid, frozen, or dry eggs or egg products shall be substituted for raw shell eggs in the preparation of: (B) except as specified in paragraph (6) of this subsection, recipes in which more than one egg is broken and the eggs are combined;provide pasteurized eggs (shelled eggs not pasteurized)*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.store food 6 inches off the ground (food on floor in the walk in freezer)NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20244205 W NORTHWEST HWY

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Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Inspection MonthInspection YearLat Long Location# duplicates
0FOODA AT SOUTHWEST AIRLINES (CAFETERIA SEATING AREA)Routine2024-01-31972195RESEARCHNaNROWNaN2195 RESEARCH ROW75235*24 Food Labeling- with common name of the food2.0228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;Label squeeze bottles with name of food*35 Hair Restraints effective1.0228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.Provide hair net to be effectiveNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20242195 RESEARCH ROW2
1GOLDEN CHICKRoutine2024-01-039410443CENTRALNEXPWNaN10443 N CENTRAL EXPW75231*03 <<<HOT HOLD (135øF)>>>3.0NaNNaN*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY202410443 N CENTRAL EXPW2
2LEGACY MIDTOWN PARKRoutine2024-01-021008240MANDERVILLENaNLNNaN8240 MANDERVILLE LN75231NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20248240 MANDERVILLE LN2
3LEGACY MIDTOWN PARK (1ST FLOOR)Routine2024-01-021008280MANDERVILLENaNLNNaN8280 MANDERVILLE LN75231NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20248280 MANDERVILLE LN2
4LEGACY MIDTOWN PARK (2ND FLOOR)Routine2024-01-021008280MANDERVILLENaNLNNaN8280 MANDERVILLE LN75231NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20248280 MANDERVILLE LN2
5LEGACY MIDTOWN PARK (3RD FLOOR)Routine2024-01-021008280MANDERVILLENaNLNNaN8280 MANDERVILLE LN75231NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20248280 MANDERVILLE LN2
6SAM'S CLUB #8282 - DEMO ROOMRoutine2024-01-111002900WHEATLANDWRDNaN2900 W WHEATLAND RD75237NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20242900 W WHEATLAND RD2
7THE LEGACY MIDTOWN PARK BUILDING BRoutine2024-01-021008260MANDERVILLENaNLNNaN8260 MANDERVILLE LN75231NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20248260 MANDERVILLE LN2